Excited to share that we built a custom YOLOv9-based bag detection model.
From dataset preparation and annotation to training, validation, and optimization, this project gave us hands-on experience in building a real-time object detection pipeline using computer vision under mentorship of chandani Yadav, Nidhi Thakur, Aditya Behera.
What we worked on:
Custom dataset creation and labeling
YOLOv9 model training and fine-tuning
Real-time bag detection
Performance evaluation and optimization
This project helped us better understand:
Object detection workflows
Deep learning model optimization
Computer vision deployment challenges
Practical AI applications in surveillance and automation
Looking forward to exploring more real-world AI and computer vision applications ahead.
I would like to extend my appreciation to Sandeep Dwivedi, Dr. Sunny Sall, Romero D’Souza and WISERLI for providing us this opportunity to experience ML-based object detention first-hand.
Special Thanks to the Team:
Anish Naik
Deep Mohite
Pranav Prasanth Nair
#AI #ComputerVision #DeepLearning #YOLOv9 #MachineLearning #ObjectDetection #Python #OpenCV #DataScience #ArtificialIntelligence