ialonsolinares/Building-a-Rat-Detector-with-Computer-Vision-Grounding-DINO-and-YOLOv10

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

Language: Jupyter Notebook - Size: 39.6 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0