pytorch yolov5

PyTorch YOLOv5 is an object detection model that is based on the YOLO (You Only Look Once) architecture and implemented using the PyTorch deep learning framework. This model is designed to detect objects in real-time and is known for its high accuracy and speed.

The YOLOv5 model was developed by Ultralytics, a team of developers who specialize in computer vision applications. It is a state-of-the-art object detection model that has been trained on a large dataset of images and is capable of detecting a wide range of objects.

To use PyTorch YOLOv5, you can either download the pre-trained model or train your own model on your own dataset. Once you have the model, you can use it to detect objects in images or videos by passing the input through the model and processing the output to identify the objects and their locations.