Florence-2 Large Image to Image

fal-ai/florence-2-large/object-detection
Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks
Inference
Commercial use

About

Object Detection

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/florence-2-large/object-detection", {
  input: {
    image_url: "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

3. Queue#

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("fal-ai/florence-2-large/object-detection", {
  input: {
    image_url: "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg"
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("fal-ai/florence-2-large/object-detection", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("fal-ai/florence-2-large/object-detection", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Read more about file handling in our file upload guide.

5. Schema#

Input#

image_url string* required

The URL of the image to be processed. Default value: undefined

{
  "image_url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg"
}

Output#

results BoundingBoxes* required

Results from the model Default value: undefined

image Image

Processed image Default value: undefined

{
  "results": {
    "bboxes": [
      {
        "label": ""
      }
    ]
  }
}

Other types#

PolygonOutputWithLabels#

results PolygonOutput* required

Results from the model Default value: undefined

image Image

Processed image Default value: undefined

OCRBoundingBoxSingle#

x float* required

X-coordinate of the top-left corner Default value: undefined

y float* required

Y-coordinate of the top-left corner Default value: undefined

w float* required

Width of the bounding box Default value: undefined

h float* required

Height of the bounding box Default value: undefined

label string* required

Label of the bounding box Default value: undefined

BoundingBox#

x float* required

X-coordinate of the top-left corner Default value: undefined

y float* required

Y-coordinate of the top-left corner Default value: undefined

w float* required

Width of the bounding box Default value: undefined

h float* required

Height of the bounding box Default value: undefined

label string* required

Label of the bounding box Default value: undefined

Image#

url string* required

The URL where the file can be downloaded from. Default value: undefined

content_type string

The mime type of the file. Default value: undefined

file_name string

The name of the file. It will be auto-generated if not provided. Default value: undefined

file_size integer

The size of the file in bytes. Default value: undefined

file_data string

File data Default value: undefined

width integer

The width of the image in pixels. Default value: undefined

height integer

The height of the image in pixels. Default value: undefined

OCRBoundingBoxOutputWithLabels#

results OCRBoundingBox* required

Results from the model Default value: undefined

image Image

Processed image Default value: undefined

BoundingBoxes#

bboxes list<BoundingBox>* required

List of bounding boxes Default value: undefined

OCRBoundingBox#

quad_boxes list<OCRBoundingBoxSingle>* required

List of quadrilateral boxes Default value: undefined

Polygon#

points list<object>* required

List of points Default value: undefined

label string* required

Label of the polygon Default value: undefined

Region#

x1 integer* required

X-coordinate of the top-left corner Default value: undefined

y1 integer* required

Y-coordinate of the top-left corner Default value: undefined

x2 integer* required

X-coordinate of the bottom-right corner Default value: undefined

y2 integer* required

Y-coordinate of the bottom-right corner Default value: undefined

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