merve/SGinW
Dataset Card for Segmentation in the Wild Dataset Description Segmentation in the Wild (SegInW) is a computer vision challenge that aims to evaluate the transferability of pre-trained vision models. It proposes a new benchmark that assesses both the segmentation accuracy and transfer efficiency of models on a diverse set of downstream segmentation tasks. The challenge consists of 25 free, public segmentation datasets, crowd-sourced on roboflow.com, providing a… See the full description on the dataset page: https://huggingface.co/datasets/merve/SGinW.
| Author / organization | merve |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 11 July 2024 |
| Last updated at source | 11 July 2024 |
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