wish44165/UAVDB
UAVDB: Point-Guided Masks for UAV Detection and Segmentation
This project helps researchers and engineers analyze drone footage by providing a benchmark for detecting and segmenting Unmanned Aerial Vehicles (UAVs). It takes raw video files and trajectory points of drones as input, and outputs precise bounding boxes and detailed masks for each drone across video frames. This tool is designed for specialists working on object recognition in aerial surveillance or drone management.
No commits in the last 6 months.
Use this if you need to accurately identify and outline drones in video recordings for research, security, or environmental monitoring purposes.
Not ideal if you are looking for a plug-and-play application for general object detection or if your focus is on ground-based objects rather than aerial vehicles.
Stars
14
Forks
—
Language
Python
License
—
Category
Last pushed
Jul 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/wish44165/UAVDB"
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.