🐣 ChickEgg - Real-Time Chicken and Egg Detection

ChickEgg is a real-time object detection system built using YOLOv11, designed to accurately identify chickens and eggs in farm environments from live video streams.

📌 Key Features

• ⚡ Real-time detection with YOLOv11
• 🎯 High performance on a custom farm dataset:
  • Precision (B): 0.93
  • Recall (B): 0.92
  • [email protected] (B): 0.945
  • [email protected]:0.95 (B): 0.735
• 📸 Custom data collection and annotation using Roboflow
• 🐔 Trained specifically on farm-related scenes for detecting:
  • chicken
  • egg

📁 Dataset

• Total annotated images: 6,715
  • Training set: 5,524 images
  • Validation set: 792 images
  • Test set: 399 images
• Collected from various farm camera feeds
• Annotated using Roboflow for high-quality bounding boxes and labels
• Balanced to ensure robust generalization across unseen farm environments

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Feel free to contribute, raise issues, or fork this project to extend its capabilities!