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cloth-segmentation-coreml
jerhoads/cloth-segmentation-coreml
cloth-segmentation-coreml is a image segmentation model from jerhoads. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
On-device clothing segmentation for iOS, converted to Core ML. Segments a person's clothing into upper-body, lower-body, and full-body (dress) + background.
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.bin88.1 MB · 52%
At a glance
- Task
- Image Segmentation
- License
- mit
- Access
- Public
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026
- SHA
- 9c0a03af
Model card
From the Hugging Face model README
Cloth Segmentation — Core ML (U²-Net)
On-device clothing segmentation for iOS, converted to Core ML. Segments a person's clothing into upper-body, lower-body, and full-body (dress) + background.
- Input: RGB image, 768×768 (Core ML
ImageType; normalization baked in). - Output:
probs— softmax probabilities, shape(1, 4, 768, 768), channels =[background, upper, lower, full]. - Format: FP16 mlprogram, ~84 MB.
ClothSegmentation.mlpackage.zip(download + unzip + compile on device).
Provenance & License
- Architecture: U²-Net (Xuebin Qin et al.) — Apache-2.0.
- Model/code: levindabhi/cloth-segmentation — MIT.
- Weights trained on iMaterialist (Fashion) 2019 @ FGVC6 (competition dataset).
- Checkpoint mirror:
maiti/cloth-segmentation(cloth_segm_u2net_latest.pth). - Converted with the included
convert.py(PyTorch 2.2 → coremltools 8.3).
Used by Chromaform (chromaform.art) for its Clothing Recolor tool.
- Task
- Image Segmentation
- License
- mit
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026