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Large-scale unsupervised training

# Large-scale unsupervised training

Coreml Depth Anything Small

Depth Anything is a depth estimation model based on the DPT architecture and DINOv2 backbone network, trained on approximately 62 million images, achieving state-of-the-art results in relative and absolute depth estimation tasks.

Depth Anything Large Hf

Depth Anything is a depth estimation model based on the DPT architecture and DINOv2 backbone network, trained on approximately 62 million images, achieving state-of-the-art results in both relative and absolute depth estimation tasks.

Depth Anything Base Hf

Depth Anything is a depth estimation model based on the DPT architecture and DINOv2 backbone network, trained on approximately 62 million images, achieving state-of-the-art performance in zero-shot depth estimation.

Depth Anything Small Hf

Depth Anything is a depth estimation model based on the DPT architecture, utilizing the DINOv2 backbone network. It was trained on approximately 62 million images and excels in both relative and absolute depth estimation tasks.

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