Road Vehicles Detection
-
Updated
May 10, 2024 - Python
#
yolov9-deep-learning
Here are 7 public repositories matching this topic...
Nuclear and Chemical data with Plug-Unplug Systematics (21 different MQ sensors & 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.
data-science computer-vision jupyter-notebook html5-canvas mysql-database gps-tracker air-quality-data mq-sensors apache-configuration esp32-arduino matplotlib-python mq-135 sql-data-analysis html-css-js-php-mysql pixy2-machine-learning geiger-conter-radioactivity esp32cam-face-detection 3d-tfluna-lidar yolov9-deep-learning
-
Updated
Jan 22, 2026 - Python
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.
-
Updated
May 26, 2024 - Jupyter Notebook
Vehicle Number Plate Recognition using Yolo v8 and Yolo v9
-
Updated
May 10, 2025 - Jupyter Notebook
This project is built to recognize text on license plates in pictures using YOLOv9 and EasyOCR
computer-vision deep-learning python3 plate-recognition anpr license-plate-recognition easyocr yolov9 yolov9-deep-learning
-
Updated
May 30, 2024 - Jupyter Notebook
Automated cow detection and counting system for dairy farm queue monitoring using computer vision, with snapshots taken at 5-minute intervals.
-
Updated
Nov 28, 2024 - Jupyter Notebook
-
Updated
May 30, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the yolov9-deep-learning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the yolov9-deep-learning topic, visit your repo's landing page and select "manage topics."