A new dataset of dog breed images and a benchmark for fine grained classification
Triage The report describes the YOLO5 algorithm that underpins the approach in question and can be classified as machine learning for object detection and classification conducted to identify different dog breeds. The project entailed curating a huge number of images of dogs, creating a bounding box for each of them similarly to the previous project, and marking the breed of the dog in the image, training the YOLO5 model, releasing the model and using it to achieve real-time detection of the breed of a dog.