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On this page
  • Inputs
  • Add Inputs
  • Add inputs with concepts
  • Add inputs with custom metadata
  • Get inputs
  • Get input by id
  • Get inputs status
  • Update inputs
  • Update input with concepts
  • Bulk update inputs with concepts
  • Delete inputs
  • Delete concepts from an input
  • Bulk delete concepts from a list of inputs
  • Delete Input By Id
  • Delete a list of inputs
  • Delete all inputs

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  1. API Guide
  2. Data management

Inputs

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Last updated 5 years ago

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Inputs

The API is built around a simple idea. You send inputs (images) to the service and it returns predictions. In addition to receiving predictions on inputs, you can also index inputs and their predictions to later search against. You can also index inputs with concepts to later train your own model.

When you add an input to your app, the base workflow of your app runs, computing the outputs from all the models in that workflow and indexes those outputs. Those indexed outputs are what incur the indexing fee monthly, and enablessearch and training on top of the outputs of the base workflow models.

Add Inputs

You can add inputs one by one or in bulk. If you do send bulk, you are limited to sending 128 inputs at a time.

Important: adding inputs is an asynchronous operation. That means it will process indexing of your inputs through your default workflow in the background, which can take some time. In order to check the status of each input you add, see the section on to look for status 30000 (INPUT_IMAGE_DOWNLOAD_SUCCESS) status code on each input to know when it's successfully been indexed.

Add an input using a publicly accessible URL

app.inputs.create({
  url: "https://samples.clarifai.com/metro-north.jpg"
}).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

app.inputs.create_image_from_url("https://samples.clarifai.com/metro-north.jpg")
client.addInputs()
    .plus(ClarifaiInput.forImage("https://samples.clarifai.com/metro-north.jpg"))
    .executeSync();
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.AddInputs(
                    new ClarifaiURLImage("https://samples.clarifai.com/metro-north.jpg"))
                .ExecuteAsync();
        }
    }
}
ClarifaiImage *image = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/metro-north.jpg"];
[app addInputs:@[image] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
    NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->addInputs(
        new ClarifaiURLImage('https://samples.clarifai.com/metro-north.jpg'))
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X POST \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "data": {
          "image": {
            "url": "https://samples.clarifai.com/metro-north.jpg"
          }
        }
      }
    ]
  }'\
  https://api.clarifai.com/v2/inputs

Add an input using bytes

The data must be base64 encoded. When you add a base64 image to our servers, a copy will be stored and hosted on our servers. If you already have an image hosting service we recommend using it and adding images via the url parameter.

app.inputs.create({
  base64: "Zvfauhti4D..."
}).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

# add from filename
app.inputs.create_image_from_filename(filename)

# add from base64 bytes
app.inputs.create_image_from_base64(base64_bytes)
client.addInputs()
    .plus(ClarifaiInput.forImage(new File("image.png")))
    .executeSync();
using System.IO;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.AddInputs(
                    new ClarifaiFileImage(File.ReadAllBytes("image.png")))
                .ExecuteAsync();
        }
    }
}
ClarifaiImage *imageFromImage = [[ClarifaiImage alloc] initWithImage:@"dress.jpg"];
[app addInputs:@[imageFromImage] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
    NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiFileImage;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->addInputs(
        new ClarifaiFileImage(file_get_contents('/home/user/image.png')))
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X POST \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "data": {
          "image": {
            "base64": '"`base64 /home/user/image.jpeg`"'"
          }
        }
      }
    ]
  }'\
  https://api.clarifai.com/v2/inputs

Add multiple inputs with ids

In cases where you have your own id and you only have one item per image, you are encouraged to send inputs with your own id. This will help you later match the input to your own database. If you do not send an id, one will be created for you. If you have more than one item per image, it is recommended that you put the product id in metadata.

app.inputs.create([
  {
    url: "https://samples.clarifai.com/metro-north.jpg",
    id: 'train1'
  },
  {
    url: "https://samples.clarifai.com/puppy.jpg",
    id: 'puppy1'
  }
]).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage

app = ClarifaiApp(api_key='YOUR_API_KEY')

img1 = ClImage(url="https://samples.clarifai.com/metro-north.jpg", image_id="train1")
img2 = ClImage(url="https://samples.clarifai.com/puppy.jpg", image_id="puppy1")

app.inputs.bulk_create_images([img1, img2])
client.addInputs()
    .plus(
        ClarifaiInput.forImage("https://samples.clarifai.com/metro-north.jpg")
            .withConcepts(Concept.forID("id1")),
        ClarifaiInput.forImage("https://samples.clarifai.com/wedding.jpg")
            .withConcepts(Concept.forID("id2"))
    )
    .executeSync();
using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.AddInputs(
                    new ClarifaiURLImage(
                        "https://samples.clarifai.com/metro-north.jpg",
                        positiveConcepts: new List<Concept> {new Concept("id1")}),
                    new ClarifaiURLImage(
                        "https://samples.clarifai.com/wedding.jpg",
                        positiveConcepts: new List<Concept> {new Concept("id2")}))
                .ExecuteAsync();
        }
    }
}
ClarifaiImage *train = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/metro-north.jpg"];
train.inputID = @"train";

ClarifaiImage *puppy = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/puppy.jpg"];
puppy.inputID = @"puppy";

[app addInputs:@[train, puppy] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
    NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;
use Clarifai\DTOs\Predictions\Concept;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->addInputs([
        (new ClarifaiURLImage('https://samples.clarifai.com/metro-north.jpg'))
            ->withPositiveConcepts([new Concept('id1')]),
        (new ClarifaiURLImage('https://samples.clarifai.com/wedding.jpg'))
            ->withPositiveConcepts([new Concept('id2')]),
    ])
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X POST \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "data": {
          "image": {
            "url": "https://samples.clarifai.com/metro-north.jpg"
          }
        },
        "id": "{id1}"
      },
      {
        "data": {
          "image": {
            "url": "https://samples.clarifai.com/puppy.jpg"
          }
        },
        "id": "{id2}"
      }
    ]
  }'\
  https://api.clarifai.com/v2/inputs

Add inputs with concepts

When you add a concept to an input, you need to indicate whether the concept is present in the image or if it is not present.

You can add inputs with concepts as either a URL or bytes.

app.inputs.create({
  url: "https://samples.clarifai.com/puppy.jpg",
  concepts: [
    {
      id: "boscoe",
      value: true
    }
  ]
}).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage

app = ClarifaiApp(api_key='YOUR_API_KEY')

# add by url
app.inputs.create_image_from_url("https://samples.clarifai.com/puppy.jpg", concepts=['boscoe'])

# add by base64 bytes
app.inputs.create_image_from_base64(base64_bytes, concepts=['boscoe'])

# add by raw bytes
app.inputs.create_image_from_bytes(raw_bytes, concepts=['boscoe'])

# add by local file
app.inputs.create_image_from_filename(local_filename, concepts=['boscoe'])

# add multiple with concepts
img1 = ClImage(url="https://samples.clarifai.com/puppy.jpg", concepts=['boscoe'], not_concepts=['our_wedding'])
img2 = ClImage(url="https://samples.clarifai.com/wedding.jpg", concepts=['our_wedding'], not_concepts=['cat','boscoe'])

app.inputs.bulk_create_images([img1, img2])
client.addInputs()
    .plus(ClarifaiInput.forImage("https://samples.clarifai.com/puppy.jpg")
        .withConcepts(
            // To mark a concept as being absent, chain `.withValue(false)`
            Concept.forID("boscoe")
        )
    )
    .executeSync();
using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.AddInputs(
                    new ClarifaiURLImage(
                        "https://samples.clarifai.com/puppy.jpeg",
                        // To mark a concept as being absent, use negativeConcepts
                        positiveConcepts: new List<Concept> {new Concept("boscoe")}))
                .ExecuteAsync();
        }
    }
}
ClarifaiImage *puppy = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/puppy.jpg"
                                              andConcepts:@[@"cute puppy"]];

[app addInputs:@[puppy] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
    NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;
use Clarifai\DTOs\Predictions\Concept;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->addInputs(
        (new ClarifaiURLImage('https://samples.clarifai.com/metro-north.jpg'))
            ->withPositiveConcepts([new Concept('id1')]))
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X POST \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "data": {
          "image": {
            "url": "https://samples.clarifai.com/puppy.jpg"
          },
          "concepts":[
            {
              "id": "boscoe",
              "value": true
            }
          ]
        }
      }
    ]
  }'\
  https://api.clarifai.com/v2/inputs

Add inputs with custom metadata

If you have more than one item per image it is recommended to put the id in metadata like:

{
  "product_id": "xyz"
}
app.inputs.create({
  url: "https://samples.clarifai.com/puppy.jpg",
  metadata: {id: 'id001', type: 'plants', size: 100}
}).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage

app = ClarifaiApp(api_key='YOUR_API_KEY')

# metadata must be defined as JSON object
metadata = {'id':'id001', 'type':'plants', 'size':100}

# adding metadata along with url, filename, etc
app.inputs.create_image_from_url(url="https://samples.clarifai.com/puppy.jpg", metadata=metadata)
app.inputs.create_image_from_filename(filename="aa.jpg", metadata=metadata)

# define an image with metadata for bulk import
img = Image(url="", metadata=metadata)

app.inputs.bulk_create_images([img])
final JsonObject metadata = new JsonObject();
metadata.addProperty("isPuppy", true);
client.addInputs()
    .plus(
        ClarifaiInput.forImage("https://samples.clarifai.com/puppy.jpg")
            .withMetadata(metadata)
    ).executeSync();
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;
using Newtonsoft.Json.Linq;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            var metadata = new JObject(
                new JProperty("key1", "val1"),
                new JProperty("key2", "val2"));
            await client.AddInputs(
                    new ClarifaiURLImage(
                        "https://samples.clarifai.com/puppy.jpeg",
                        metadata: metadata))
                .ExecuteAsync();
        }
    }
}
ClarifaiImage *puppy = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/puppy.jpg"
                                              andConcepts:@[@"cute puppy"]];
puppy.metadata = @{@"my_key": @[@"my",@"values"], @"cuteness": @"extra-cute"};
[app addInputs:@[puppy] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
  NSLog(@"inputs: %@", inputs);
}];
//coming soon
curl -X POST \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "data": {
          "image": {
            "url": "https://samples.clarifai.com/puppy.jpg",
            "allow_duplicate_url": true
          },
          "metadata": {
            "key": "value",
            "list":[1,2,3]
          }
        }
      }
    ]
  }'\
  https://api.clarifai.com/v2/inputs

Get inputs

If you added inputs with concepts, they will be returned in the response as well.

This request is paginated.

app.inputs.list({page: 1, perPage: 20}).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

# this is a generator
app.inputs.get_all()

# get a page of inputs
app.inputs.get_by_page(page=1, per_page=20)
client.getInputs() // optionally takes a perPage parameter
    .getPage(1)
    .executeSync();
using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.GetInputs()
                .Page(1)
                .ExecuteAsync();
        }
    }
}
[app getInputsOnPage:1 pageSize:20 completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
    NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiInput;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->getInputs()->executeSync();

if ($response->isSuccessful()) {
    $inputs = $response->get();
    foreach ($inputs as $input) {
        echo $input->id() . "\n";
    }
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X GET \
  -H "Authorization: Key YOUR_API_KEY" \
  https://api.clarifai.com/v2/inputs

Get input by id

If you'd like to get a specific input by id, you can do that as well.

app.inputs.get({id}).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

image = app.inputs.get(input_id)
client.getInputByID("{id}").executeSync();
using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.GetInput("{id}")
                .ExecuteAsync();
        }
    }
}
[_app getInput:input_id completion:^(ClarifaiInput *input, NSError *error) {
    NSLog(@"input": %@, input);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->getInput('{input_id}')->executeSync();

if ($response->isSuccessful()) {
    // Here we "cast" from ClarifaiInput to ClarifaiURLImage.
    $input = $response->get();
    echo $input->url();
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X GET \
  -H "Authorization: Key YOUR_API_KEY" \
  https://api.clarifai.com/v2/inputs/{id}

Get inputs status

If you add inputs in bulk, they will process in the background. You can get the status of all your inputs (processed, to_process and errors) like this:

app.inputs.getStatus().then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

app.inputs.check_status()
client.getInputsStatus().executeSync();
using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.GetInputsStatus()
                .ExecuteAsync();
        }
    }
}
[app getInputsStatus:^(int numProcessed, int numToProcess, int errors, NSError *error) {
    NSLog(@"number of inputs processed: %d", numProcessed);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiInputsStatus;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->getInputsStatus()->executeSync();

if ($response->isSuccessful()) {
    $inputsStatus = $response->get();
    echo 'Num. processed: ' . $inputsStatus->processed() . "\n";
    echo 'Num. processing: ' . $inputsStatus->processing() . "\n";
    echo 'Num. to process: ' . $inputsStatus->toProcess() . "\n";
    echo 'Num. errors: ' . $inputsStatus->errors() . "\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X GET \
  -H "Authorization: Key YOUR_API_KEY" \
  https://api.clarifai.com/v2/inputs/status

Update inputs

Update input with concepts

To update an input with a new concept, or to change a concept value from true/false, you can do that:

app.inputs.mergeConcepts([
  {
    id: "{id}",
    concepts: [
      {
        id: "tree"
      },
      {
        id: "water",
        value: false
      }
    ]
  },
])


// or if you have an input instance
app.inputs.get({id}).then(
  function(input) {
    input.mergeConcepts([
      {
        id: "tree",
        value: true
      },
      {
        id: "water",
        value: false
      }
    ])
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

app.inputs.merge_concepts('{id}', concepts=['tree'], not_concepts=['water'])
client.mergeConceptsForInput("{input_id}")
    .plus(
        Concept.forID("tree"),
        Concept.forID("water").withValue(false)
    )
    .executeSync();
using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.API.Requests.Models;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.ModifyInput(
                    "{input_id}",
                    ModifyAction.Merge,
                    positiveConcepts: new List<Concept> {new Concept("tree")},
                    negativeConcepts: new List<Concept> {new Concept("water")})
                .ExecuteAsync();
        }
    }
}
ClarifaiConcept *concept = [[ClarifaiConcept alloc] initWithConceptName:@"cute cat"];
[_app addConcepts:@[concept] forInputWithID:@"{id}" completion:^(ClarifaiInput *input, NSError *error) {
    NSLog(@"input: %@", input);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ModifyAction;
use Clarifai\DTOs\Predictions\Concept;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->modifyInput('{input_id}', ModifyAction::merge())
    ->withPositiveConcepts([new Concept('tree')])
    ->withNegativeConcepts([new Concept('water')])
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X PATCH \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "id": "{id}",
        "data": {
          "concepts": [
            {
              "id": "tree",
              "value": true
            },
            {
              "id": "water",
              "value": false
            }
          ]
        }
      }
    ],
    "action":"merge"
}'\
  https://api.clarifai.com/v2/inputs

Bulk update inputs with concepts

You can update an existing input using its Id. This is useful if you'd like to add concepts to an input after its already been added.

app.inputs.mergeConcepts([
  {
    id: "{id1}",
    concepts: [
      {
        id: "tree",
        value: true
      },
      {
        id: "water",
        value: false
      }
    ]
  },
  {
    id: "{id2}",
    concepts: [
      {
        id: "animal",
        value: true
      },
      {
        id: "fruit",
        value: false
      }
    ]
  }
]).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

input_ids = ["{id1}", "{id2}"]
concept_pairs = [
                 [('tree', True), ('water', False)],
                 [('animal', True), ('fruit', False)],
                ]
app.inputs.bulk_merge_concepts(input_ids, concept_pairs)
// Coming soon
// Coming soon
ClarifaiConcept *newConcept = [[ClarifaiConcept alloc] initWithConceptID:@"tree"];
[_app getInput:@"{input_id}" completion:^(ClarifaiInput *input, NSError *error) {
  // Add tree concept to each current input's concept list.
  NSMutableArray *newConceptList = [NSMutableArray arrayWithArray:input.concepts];
  [newConceptList addObject:newConcept];
  input.concepts = newConceptList;

  // Merge the new list for one or more inputs.
  [_app mergeConceptsForInputs:@[input] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error)   {
    NSLog(@"updated inputs: %@", inputs);
  }];
}];
//coming soon
curl -X PATCH \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "id": "{id1}",
        "data": {
          "concepts": [
            {
              "id": "tree",
              "value": true
            },
            {
              "id": "water",
              "value": false
            }
          ]
        }
      },
      {
        "id": "{id2}",
        "data": {
          "concepts": [
            {
              "id": "tree",
              "value": true
            },
            {
              "id": "water",
              "value": false
            }
          ]
        }
      }
    ],
    "action":"merge"
}'\
  https://api.clarifai.com/v2/inputs

Delete inputs

Delete concepts from an input

To remove concepts that were already added to an input, you can do this:

app.inputs.deleteConcepts([
  {
    id: "{id}",
    concepts: [
      {
        id: "tree"
      },
      {
        id: "water",
        value: false
      }
    ]
  },
])

// or if you have an input instance
app.inputs.get({id}).then(
  function(input) {
    input.deleteConcepts([
      {
        id: "tree",
        value: true
      },
      {
        id: "water",
        value: false
      }
    ])
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

app.inputs.delete_concepts({id}, concepts=['tree', 'water'])
client.removeConceptsForInput("{input_id}")
    .plus(
        Concept.forID("tree"),
        Concept.forID("water")
    )
    .executeSync();
using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.API.Requests.Models;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.ModifyInput(
                    "INPUT_ID",
                    ModifyAction.Remove,
                    positiveConcepts: new List<Concept> {new Concept("tree")},
                    negativeConcepts: new List<Concept> {new Concept("water")})
                .ExecuteAsync();
        }
    }
}
ClarifaiConcept *concept = [[ClarifaiConcept alloc] initWithConceptName:@"cute cat"];
[app deleteConcepts:@[concept] forInputWithID:{id} completion:^(ClarifaiInput *input, NSError *error) {
    NSLog(@"input: %@", input);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ModifyAction;
use Clarifai\DTOs\Predictions\Concept;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->modifyInput('INPUT_ID', ModifyAction::remove())
    ->withPositiveConcepts([new Concept('tree')])
    ->withNegativeConcepts([new Concept('water')])
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X PATCH \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "id":"{{asset_id}}",
        "data": {
            "concepts":[
                {"id":"mattid2", "value":true},
                {"id":"ferrari", "value":false}
            ]
        }
      }
    ],
    "action":"remove"
  }'\
  https://api.clarifai.com/v2/inputs/

Bulk delete concepts from a list of inputs

You can bulk delete multiple concepts from a list of inputs:

app.inputs.deleteConcepts([
  {
    id: "{id1}",
    concepts: [
      { id: "tree" },
      { id: "water" }
    ]
  },
  {
    id: "{id2}",
    concepts: [
      { id: "animal" },
      { id: "fruit" }
    ]
  }
]).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

input_ids = ["{id1}", "{id2}"]
concept_pairs = [
                 ['tree', 'water'],
                 ['animal', 'fruit']
                ]
app.inputs.bulk_delete_concepts(input_ids, concept_pairs)
// Coming soon
// Coming soon
ClarifaiConcept *concept = [[ClarifaiConcept alloc] initWithConceptName:@"cute cat"];
[app deleteConcepts:@[concept] forInputWithID:input_id completion:^(ClarifaiInput *input, NSError *error) {
    NSLog(@"input: %@", input);
}];
// Coming soon
curl -X PATCH \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "id": "{id1}",
        "data": {
          "concepts":[
            {
              "id": "mattid2"
            },
            {
              "id": "ferrari"
            }
          ]
        }
      },
      {
        "id": "{id2}",
        "data": {
          "concepts":[
            {
              "id": "mattid2"
            },
            {
              "id": "ferrari"
            }
          ]
        }
      }
    ],
    "action":"remove"
  }'\
  https://api.clarifai.com/v2/inputs

Delete Input By Id

You can delete a single input by id:

app.inputs.delete(INPUT_ID).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

app.inputs.delete("INPUT_ID")
client.deleteInput("INPUT_ID")
    .executeSync();
using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.DeleteInputs("INPUT_ID")
                .ExecuteAsync();
        }
    }
}
[_app deleteInputsByIDList:@[INPUT_ID] completion:^(NSError *error) {
    NSLog(@"input has been deleted");
}];
use Clarifai\API\ClarifaiClient;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->deleteInputs('INPUT_ID')
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X DELETE \
  -H "Authorization: Key YOUR_API_KEY" \
  https://api.clarifai.com/v2/inputs/<INPUT_ID>

Delete a list of inputs

You can also delete multiple inputs in one API call. This will happen asynchronously.

app.inputs.delete([{id1}, {id2}]).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

app.delete(["{id1}", "{id2}"])
client.deleteInputsBatch()
    .plus("{id1}", "{id2}");
    .executeSync();
using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.DeleteInputs("{id1}", "{id2}")
                .ExecuteAsync();
        }
    }
}
[_app deleteInputsByIDList:@[{id1}, {id2}] completion:^(NSError *error) {
    NSLog(@"inputs have been deleted");
}];
use Clarifai\API\ClarifaiClient;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->deleteInputs(['INPUT_ID1', 'INPUT_ID2'])
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X DELETE \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "ids":["INPUT_ID1","INPUT_ID2"]
  }'\
  https://api.clarifai.com/v2/inputs

Delete all inputs

If you would like to delete all inputs from an application, you can do that as well. This will happen asynchronously.

app.inputs.delete().then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

app.inputs.delete_all()
client.deleteAllInputs().executeSync();
using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.DeleteAllInputs()
                .ExecuteAsync();
        }
    }
}
[app deleteAllInputs:^(ClarifaiInput *input, NSError *error) {
  NSLog(@"all inputs have been deleted");
}];
use Clarifai\API\ClarifaiClient;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->deleteInputs([], true)
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}
curl -X DELETE \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "delete_all":true
  }'\
  https://api.clarifai.com/v2/inputs

If you would like to add an input with concepts, you can do so like this. Concepts play an important role in creating your own models using your own concepts. You can learn more about above. Concepts also help you search for inputs. You can here.

In addition to adding an input with concepts, you can also add an input with custom metadata. This metadata will then be . Metadata can be any arbitrary JSON.

You can list all the inputs (images) you have previously added either for or .

creating your own models
learn more about search
searchable
search
train
Get Input by ID