clementapa/COTS_detection
Building an object detector to protect the Great Barrier Reef: Kaggle challenge TensorFlow - Help Protect the Great Barrier Reef.
This tool helps marine biologists and conservationists quickly identify and locate crown-of-thorns starfish (COTS) outbreaks in the Great Barrier Reef. By analyzing underwater video footage, it identifies the presence and exact position of these starfish, providing crucial information to plan targeted physical interventions. The end-user is typically someone involved in marine conservation or reef management.
No commits in the last 6 months.
Use this if you need to automatically detect and map crown-of-thorns starfish in underwater video to protect coral reefs.
Not ideal if you are looking for a general object detection tool for other marine species or a different environmental context.
Stars
7
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 10, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/clementapa/COTS_detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
broadinstitute/keras-rcnn
Keras package for region-based convolutional neural networks (RCNNs)
alankbi/detecto
Build fully-functioning computer vision models with PyTorch
sovit-123/fasterrcnn-pytorch-training-pipeline
PyTorch Faster R-CNN Object Detection on Custom Dataset
kenshohara/video-classification-3d-cnn-pytorch
Video classification tools using 3D ResNet
lufficc/SSD
High quality, fast, modular reference implementation of SSD in PyTorch