tinh2044/YOLO12-UnderWater
YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data augmentations, real-time inference via Gradio, and support for model export (ONNX & PyTorch).
This project helps marine biologists, environmental monitors, and operators of autonomous underwater vehicles automatically identify objects in underwater images and videos. It takes raw or low-quality underwater footage and outputs precise detections of marine life, vehicles, or pollution, even in challenging conditions like poor visibility or color distortion. Anyone working with visual data from underwater environments will find this tool useful for automating identification tasks.
No commits in the last 6 months.
Use this if you need to accurately detect and classify various objects in underwater images or video streams, improving the reliability of marine research or autonomous operations.
Not ideal if your object detection needs are for terrestrial environments or if you lack access to GPU hardware for training and real-time inference.
Stars
11
Forks
—
Language
Python
License
—
Category
Last pushed
Jun 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/tinh2044/YOLO12-UnderWater"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jonasrenault/orion
Orion - Automated Target Recognition of Military Vehicles in Video Data
roboflow/dji-aerial-georeferencing
Detect objects in drone videos and plot them on a map
hmakelin/gisnav
Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.
atulyakumar97/fire-and-gun-detection
Fire and Gun detection using yolov3 in videos as well as images. Training code, dataset and...
Orange-OpenSource/marine-detect
Object detection models for identifying species in marine environments.