Sapiens2 0.4B Body Part Per pixel body part segmentation with 29 classes (28 parts + background). This repository contains the 0.4B Body Part Segmentation checkpoint, finetuned from the Sapiens2 0.4B pretrained backbone. 📄 Paper: arXiv:2604.21681 🌐 Project Page: rawalkhirodkar.github.io/sapiens2 💻 Code: github.com/facebookresearch/sapiens2 Model Details Developed by: Meta Model type: Vision Transformer License: Sapiens2 License Task: seg Base model: facebook/sapiens2 pretrain 0.4b Format: safetensors File: sapiens2 0.4b seg.safetensors Quick Start Install the Sapiens2 repo ( pip install e . ), download the checkpoint, and run the demo: See the Body Part Segmentation guide for details on inputs, outputs, and visualization options. Model Card Field Value Architecture Sapiens2 ViT backbone + Body Part Segmentation head Backbone parameters 0.398 B Backbone FLOPs 1.260 T Embedding dim 1024 Layers 24 Attention heads 16 Inference resolution 1024 × 768 (H × W) Patch size 16 Sapiens2 Body Part Family Model Params FLOPs Embed dim Layers Heads Sapiens2 0.4B (this) 0.398 B 1.260 T 1024 24 16 Sapiens2 0.8B 0.818 B 2.592 T 1280 32 16 Sapiens2 1B 1.462 B 4.715 T 1536 40 24 Sapiens2 5B 5.071 B…
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