Fast labeling application with automatic labeling, thanks to the help of a pre-trained model.
This vehicle identification project utilizes the YOLOv5 deep learning model for detecting and classifying vehicles from images, videos, and live streams. It supports real-time inference, saving outputs with bounding boxes, confidence scores, and class labels, making it ideal for traffic monitoring and smart surveillance systems.
RiftGuru uses hybrid rule-based and ML-augmented detection to identify clutch moments in League of Legends matches. <------------------------------------------>Built for the AWS AI Hackathon 2025 | Processes Riot API data through a serverless pipeline to generate AI-powered narratives of your best plays.
This repository contains the steps and processes followed in developing and evaluating an automated IR to RGB pedestrian detection pipeline
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