Segmentation

Segment the image

Model Selection

Input

Description of what to segment in the image

The image URL to segment

Preview
Output
17 Objects Found
Analysis Target
1
wooden items
Box: [669, 721, 1024, 922]
2
glass items
Box: [823, 283, 958, 478]
3
wooden items
Box: [478, 26, 598, 173]
4
wooden items
Box: [452, 76, 521, 173]
5
wooden items
Box: [565, 207, 914, 283]
6
wooden items
Box: [567, 207, 914, 376]
7
wooden items
Box: [377, 22, 450, 166]
8
wooden items
Box: [328, 48, 386, 207]
9
glass items
Box: [718, 266, 829, 441]
10
wooden items
Box: [238, 54, 336, 220]
11
glass items
Box: [99, 176, 234, 371]
12
wooden items
Box: [423, 0, 465, 156]
13
wooden items
Box: [343, 65, 408, 218]
14
wooden items
Box: [752, 696, 1024, 828]
15
wooden items
Box: [345, 70, 408, 217]
16
wooden items
Box: [377, 22, 447, 165]
17
wooden items
Box: [238, 54, 338, 221]

About Segmentation

Segment the image

How It Works

1Upload

Provide your inputs in the Playground tab — upload images, enter text, or configure parameters.

2Run

Click the run button to process your inputs through AI models — no coding or setup required.

3Get Results

View and download your AI-generated results instantly, right in your browser.

Inputs

(2 fields)
Segmentation DescriptiontextareaRequired

Description of what to segment in the image

Image URLimageRequired

The image URL to segment

Outputs

(2 fields)
Segmentation ResultsarrayRequired

List of segmentation results with masks, bounding boxes, and labels

Original Image URLimageRequired

URL of the original image

API Access

Integrate this use case into your application via our REST API. Switch to the API tab to see the endpoint, request format, and code examples in multiple languages.