JSLEE-0703/Yolov8-drone-detection
This project integrates MobileViTv3 into YOLOv8 for UAV-based object detection, achieving higher accuracy and smoother training than the original yolov8n.pt. Designed with lightweight efficiency, it is well-suited for deployment on edge devices such as drones. A Streamlit app is provided for intuitive model visualization and real-time inference.
No commits in the last 6 months.
Stars
5
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 26, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/JSLEE-0703/Yolov8-drone-detection"
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.