Clipseg Rd64 Refined
CLIPSeg model with reduce dimension 64, refined (using a more complex convolution). It was introduced in the paper Image Segmentation Using Text and Image Prompts by Lüddecke et al. and first released in this repository.
Model source
- Kind
- Text model
- File size
- 575 MB
- Version
- vmodel
- Updated
- Sep 22, 2026
- Downloads
- 2
- Source
- Hugging Face
Source description
CLIPSeg model
CLIPSeg model with reduce dimension 64, refined (using a more complex convolution). It was introduced in the paper Image Segmentation Using Text and Image Prompts by Lüddecke et al. and first released in this repository.
Intended use cases
This model is intended for zero-shot and one-shot image segmentation.
Usage
Refer to the documentation.
Sources
1 source
Sources
1 sourceVerified Sep 8
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: apache-2.0 tags: - vision - image-segmentation inference: false --- # CLIPSeg model CLIPSeg model with reduce dimension 64, refined (using a more complex convolution). It was introduced in the paper [Image Segmentation Using Text and Image Prompts](https://arxiv.org/abs/2112.10003) by Lüddecke et al. and first released in [this repository](https://github.com/timojl/clipseg). # Intended use cases This model is intended for zero-shot and one-shot image segmentation. # Usage Refer to the [documentation](https://huggingface.co/docs/transformers/main/en/model_doc/clipseg).
Source context: 2 downloads · 0 likes · Pipeline image-segmentation · Repo Trauma27/clipseg-rd64-refined
