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1552444F – AI Model by ITI121-25S2 | AlphaNeural AI
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ITI121-25S2
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1552444F
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Ultralytics/YOLO11
finetune
apache-2.0
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Chicken & Rabbit Detector 🐔🐰
An object detection application that identifies
chickens and rabbits
in images using a custom fine-tuned
YOLOv11s
model.
Features
Image Detection
: Upload an image to detect chickens and rabbits
Video Detection
: Process videos frame-by-frame with bounding box annotations to detect chicken and rabbit
Bounding Box Visualization
: Detected objects are highlighted with labeled bounding boxes
Fast Inference
: Optimized for efficient inference on uploaded images
Model Performance
Architecture
: YOLOv11s
Training Strategy
: Transfer learning with fine-tuning
Early Stopping Epoch
: 162
mAP50
: 96.2%
mAP50:95
: 89.1%
Classes
: Chicken, Rabbit
How to Use
Image Detection
Click on the
"Image"
tab
Upload an image containing chickens and/or rabbits
Click the
"Detect"
button
View the results with bounding boxes
Video Detection
Click on the
"Video"
tab
Upload a video containing chickens and/or rabbits
Click the
"Detect"
button
View the processed video with detections
Dataset
Custom dataset manually annotated using
Roboflow
Includes realistic farm environments with varying poses, scales, and lighting
Dataset link:
https://universe.roboflow.com/goldfish-iiyzd/chicken_rabbit_detection/dataset/5
Project Information
Student ID
: 1552444F
Course
: ITI121 – Applied Deep Learning
Institution
: Nanyang Polytechnic
