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DINOv2 backbone

# DINOv2 backbone

Depth Anything V2 Metric Outdoor Large Hf

A fine-tuned version of Depth Anything V2 for outdoor metric depth estimation tasks, trained on the synthetic dataset Virtual KITTI

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.

Dpt Dinov2 Small Kitti

DPT model using DINOv2 as backbone for depth estimation tasks.

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