Clipseg

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clipseg is an open-source image segmentation tool that uses text and image prompts. It allows users to identify and isolate specific elements within an image based on textual descriptions or masked image regions.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is clipseg?

clipseg is an open-source tool for image segmentation, enabling users to precisely identify and isolate elements within images using either text queries or image-based masks. This tool is based on the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts" and has been integrated into the HuggingFace Transformers library. It provides pre-trained models, including CLIPDensePredT and ViTDensePredT, with options for fine-grained predictions. The repository offers code for quick-start usage, training, and evaluation, supporting datasets like PhraseCut and COCO. Developers can leverage its capabilities for research or custom applications requiring advanced image analysis.

Best used for

Ideal for graphic designers and photographers who need to precisely segment images based on textual descriptions or masked regions. Especially valuable for researchers and developers looking to integrate advanced image segmentation capabilities into their projects or explore state-of-the-art computer vision techniques.

Common actions

segment images

isolate objects

create masks

analyze images

"AI Agents"face swappingdeepfakegithub copilotlow-code/no-codeautomated workflowworkflowsopen-sourcecollaboration

Capabilities

Key features

Text-based image segmentation
Image-based mask segmentation
Pre-trained CLIPSeg models
Fine-grained prediction weights
Training and evaluation scripts

Target Audience

graphic designerphotographer

Integrations

huggingface-transformers

Pricing & Plans

Open Source

Free

FAQs

What kind of prompts can be used for image segmentation with clipseg?

clipseg supports two main types of prompts for image segmentation: arbitrary text queries to describe the desired object, and an image with a mask highlighting a specific area or object you wish to segment. This flexibility allows for diverse segmentation tasks.

Are there pre-trained models available for clipseg?

Yes, clipseg provides pre-trained models, including CLIPDensePredT and ViTDensePredT. These models come with different reduction dimensions and also offer new fine-grained weights for more refined predictions, which can be loaded for immediate use.

How can I use clipseg without a local GPU?

You can use clipseg interactively via MyBinder, which provides a cloud-based environment. However, please note that the MyBinder VM does not utilize a GPU, so inference times for segmentation tasks may be longer compared to local GPU execution.

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Data & Analytics › Data Labeling & Annotation

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