Seg-Sapiens-1B
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-1B 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: original
- File: sapiens_1b_goliath_best_goliath_mIoU_7994_epoch_151.pth
Model Card
- Image Size: 1024 x 768 (H x W)
- Num Parameters: 1.169 B
- FLOPs: 4.647 TFLOPs
- Patch Size: 16 x 16
- Embedding Dimensions: 1536
- Num Layers: 40
- Num Heads: 24
- Feedforward Channels: 6144
More Resources
Uses
Seg 1B model can be used to perform 28 class body part segmentation on human images.
