Face Occlusion

--- license: mit library_name: onnx tags: - image-classification - face-occlusion - onnx base_model: LamKser/face-occlusion-classification --- # face-occlusion-classification (ONNX export) ONNX export of the **ConvNeXt-Small** face-occlusion classifier from [LamKser/face-occlusion-classification](https://github.com/LamKser/face-occlusion-classification) (MIT). All credit for the model and training goes to the original author; this repo only re-packages a trained checkpoint as ONNX for inference. ## Files - `face_occlusion.onnx` — exported with their `convert_2_onnx.py` (opset 12). ## I/O - **Input:** `[1, 3, 224, 224]` float32, RGB, scaled to `[0,1]` then ImageNet-normalized (mean `[0.485,0.456,0.406]`, std `[0.229,0.224,0.225]`), NCHW. - **Output:** `[1, 2]` logits — softmax index **1 = occluded**. ## License & attribution Released under the MIT License, inherited from the upstream project. See the original repository for the full copyright notice and training details.