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Download README.md from daebakgazua/250624_OhLoRA_Hair_Segmentation_Result: direct link, hf CLI and curl.
- Browser
- Download file 745 Bytes
-
https://huggingface.co/datasets/daebakgazua/250624_OhLoRA_Hair_Segmentation_Result/resolve/07e8279fcf2ecac4355771ba2c89c1532f38936b/README.md
- Command line
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hf download hf://datasets/daebakgazua/250624_OhLoRA_Hair_Segmentation_Result@07e8279fcf2ecac4355771ba2c89c1532f38936b/README.md
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curl -L -o README.md https://huggingface.co/datasets/daebakgazua/250624_OhLoRA_Hair_Segmentation_Result/resolve/07e8279fcf2ecac4355771ba2c89c1532f38936b/README.md
745 Bytes
metadata
license: mit
size_categories:
- 1K<n<10K
- Hair Area Segmentation Result (from face images) using FaceXFormer Pre-trained Model.
- Original Face Images Dataset
- for Oh-LoRA v4 Project,
- Did Response-Based Knowledge Distillation for creating Light-weighted Segmentation Model for Oh-LoRA v4, with FaceXFormer Pre-trained Model as teacher
- Detailed Info