The Global Wetlands Project
International research team working to elevate scientific understanding and deliver tools for coastal conservation.
Pinned Repositories
fish-on-mobile-cameras
Deep learning training configuration files for: Fish surveys on the move: automated fish counts from mobile cameras
glowdex-app
Global typologies of coastal wetland status to inform conservation and management.
luderick-seagrass
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.
mangrove-carbon-app
Explore the contribution of mangrove protection to mitigating emissions.
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
The Global Wetlands Project's Repositories
globalwetlands/luderick-seagrass
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/glowdex-app
Global typologies of coastal wetland status to inform conservation and management.
globalwetlands/mangrove-carbon-app
Explore the contribution of mangrove protection to mitigating emissions.
globalwetlands/fish-on-mobile-cameras
Deep learning training configuration files for: Fish surveys on the move: automated fish counts from mobile cameras
globalwetlands/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.