This repository contains a Jupyter notebook. It demonstrates the process of training and evaluating a YOLOv10 model for object detection using the Rock, Paper, Scissors dataset from Roboflow.

This repository contains a complete workflow for training and deploying a state-of-the-art YOLOv10 model for real-time face mask detection. The model accurately identifies 'with_mask' and 'unmasked' individuals in images and videos. Includes Google Colab notebooks for training and inference

This is part of a project from IE University. It contains a notebook that walks you through creating a model for predicting rats on images using Computer Vision. It has two steps: Automatic annotation with Grounding DINO and Building the model with YOLOv10. We will leverage on Ultralytics and Roboflow platform