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End-to-end YOLOv8 PPE detection for construction-site safety. Includes Jupyter training notebooks, pretrained weights, dataset (Roboflow), inference/testing scripts, and a Flask web dashboard for real-time monitoring and compliance reporting.
🪧📪Open-source multilingual ALPR / car license plate recognition: YOLO vehicle (car, bus, truck, motorcycle) + plate detection, Persian & Latin OCR, per-country plate grammar validation, temporal fusion, and a config-driven demo notebook. Iran plate support out of the box.
Determines whether a specific user is wearing a face mask or not using a 2-factor approach written in Python with TensorFlow and OpenCV modules. Includes a Google Colab notebook tutorial and code for real-time detection using OpenCV.
This repository contains the steps to install Apache Spark, and run an application that consumes the twitter's real-time stream, performs transformations on the data and displays them on a real-time dashboard in Jupyter Notebook.
YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I've applied the YOLO algorithm to detect objects in images. darknet prints out the objects it detected, its confidence, and how long it took to find them. We didn't compile Darknet with OpenCV so it can't display the detections directly.