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YOLOToDetectBroilers
AminNasiri63/YOLOToDetectBroilers
YOLOToDetectBroilers is a machine learning model from AminNasiri63. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This model detects broiler chickens in video frames using a YOLO-based detector. It is designed for precision livestock farming applications, particularly broiler behavior monitoring.
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Public
Updated Nov 18, 2025
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709 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Nov 18, 2025
- Updated
- Nov 18, 2025
- SHA
- 85c9209a
Model card
From the Hugging Face model README
YOLO + DeepSORT Model for Broiler Detection
This model detects broiler chickens in video frames using a YOLO-based detector. It is designed for precision livestock farming applications, particularly broiler behavior monitoring.
🧠 Model Overview
- Task: Object detection + multi-object tracking
- Use case: Detecting and tracking broilers in commercial poultry environments
- Model format: Keras
.h5
📦 Files Included
Broiler.h5— YOLO-based detection model
🔗 Full Code Repository
For the complete code, including:
- YOLO detection pipeline
- DeepSORT tracker implementation
- Video input/output utilities
- End-to-end broiler tracking demo
Please refer to the GitHub repository below:
- License
- mit
- Created
- Nov 18, 2025
- Updated
- Nov 18, 2025