a hand classifier detect the image is showing left hand or right hand

it is trained with hagrid dataset on vit model, google/vit-base-patch16-224-in21k.

Limitation: it couldn't predict both hand and no hand images.

inputs = image_processor(image, return_tensors="pt")
with torch.no_grad():
    logits = model(**inputs).logits

predicted_label = logits.argmax(-1).item()
print(f'predicted_label: {model.config.id2label[predicted_label]}')

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Safetensors

Model size

85.8M params

Tensor type

F32

Inference Examples

Image Classification

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