Seg-Sapiens-0.6B-Torchscript
Model Details
Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize to in-the-wild conditions.
Sapiens-0.6B natively support 1K high-resolution inference. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic.
- Developed by: Meta
- Model type: Vision Transformer
- License: Creative Commons Attribution-NonCommercial 4.0
- Task: seg
- Format: torchscript
- File: sapiens_0.6b_goliath_best_goliath_mIoU_7777_epoch_178_torchscript.pt2
Model Card
- Image Size: 1024 x 768 (H x W)
- Num Parameters: 0.664 B
- FLOPs: 2.583 TFLOPs
- Patch Size: 16 x 16
- Embedding Dimensions: 1280
- Num Layers: 32
- Num Heads: 16
- Feedforward Channels: 5120
More Resources
Uses
Seg 0.6B model can be used to perform 28 class body part segmentation on human images.
