Object Detection with SSD MobileNet V2

Overview

This project is an object detection system using SSD MobileNet V2, a deep-learning model trained on the COCO dataset. The system detects objects in images, draws bounding boxes, and labels them with confidence scores.

Technologies:

• Python
• OpenCV
• NumPy
• Matplotlib
• TensorFlow
• Pretrained SSD MobileNet V2 Model

Model and Dataset

• The project utilizes the SSD MobileNet V2 COCO model for real-time object detection.
• Model files are automatically downloaded and extracted if not found.
• The COCO dataset class labels are used for object classification.