TaherehZarratEhsan/Chicken-Behavior-Analysis
Chicken behavior analysis using computer vision and deep learning
30
/ 100
Emerging
Implements a three-stage pipeline using YOLOv4 for detection in crowded poultry environments, centroid-based tracking for individual ID assignment, and trajectory analysis to identify anomalies like gathering events and inactive birds. The framework operates on YOLO-formatted annotations and generates tracked video outputs with distance measurements, enabling welfare monitoring in commercial broiler operations.
No License
No Package
No Dependents
Maintenance
6 / 25
Adoption
6 / 25
Maturity
1 / 25
Community
17 / 25
Stars
18
Forks
8
Language
C
License
—
Category
Last pushed
Oct 31, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/TaherehZarratEhsan/Chicken-Behavior-Analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.