Road Vehicles Detection
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Updated
May 10, 2024 - Python
Road Vehicles Detection
This project leverages a custom-trained YOLOv9 model to detect objects related to room cleanliness. Built with Gradio, it provides an interactive web interface where users can upload images and adjust detection parameters. The app returns images with annotated bounding boxes around detected objects, aiding in room organization tasks.
Nuclear and Chemical data with Plug-Unplug Systematics [MQ2 MQ3 MQ4 MQ5 MQ6 MQ7 MQ8 MQ9 MQ131 MQ135 MQ136 MQ137 MQ303A MQ309A Geiger Counter] Multi-Purpose that can configure with SQL and PHP, save data, do data science with Python, color scale with Lidar, deep learning with yolov9, objects with Pixy2 and location with GPS system Discovery Vehicle.
Vehicle Number Plate Recognition using Yolo v8 and Yolo v9
Automated cow detection and counting system for dairy farm queue monitoring using computer vision, with snapshots taken at 5-minute intervals.
This project is built to recognize text on license plates in pictures using YOLOv9 and EasyOCR
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