The Global Wetlands Project
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- depth-anything-V1 Public Forked from LiheYoung/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
globalwetlands/depth-anything-V1’s past year of commit activity - depth-anything-V2 Public Forked from DepthAnything/Depth-Anything-V2
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
globalwetlands/depth-anything-V2’s past year of commit activity - ml-depth-pro Public Forked from apple/ml-depth-pro
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
globalwetlands/ml-depth-pro’s past year of commit activity - fish-on-mobile-cameras Public
Deep learning training configuration files for: Fish surveys on the move: automated fish counts from mobile cameras
globalwetlands/fish-on-mobile-cameras’s past year of commit activity - luderick-seagrass Public
This dataset comprises of annotated footage of Girella tricuspidata in two estuary systems in South East Queensland, Australia. This data is suitable for a range of classification and object detection research in unconstrained underwater environments.
globalwetlands/luderick-seagrass’s past year of commit activity - glowdex-app Public
Global typologies of coastal wetland status to inform conservation and management.
globalwetlands/glowdex-app’s past year of commit activity - maskrcnn-benchmark Public Forked from Jinksi/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
globalwetlands/maskrcnn-benchmark’s past year of commit activity
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