References
- Redmon, Joseph, and Ali Farhadi. “Yolov3: An incremental improvement.” arXiv preprint arXiv:1804.02767 (2018).
- YOLO v2 – Object Detection
- YOLO : You Only Look Once – Real Time Object Detection
YOLOv3 From Scratch Using PyTorch
This article discusses about YOLO (v3), and how it differs from the original YOLO and also covers the implementation of the YOLO (v3) object detector in Python using the PyTorch library.
Object detection is a fundamental task in computer vision that is a combination of identifying objects within an image and localizing them by drawing a bounding box around them. It takes an image as input and produces one or more bounding boxes with the class label attached to each bounding box. A lot of research has been done in this domain and various algorithms like YOLO, R-CNN, Fast R-CNN, and Faster R-CNN have been proposed. In this article, we will discuss the YOLO (v3) algorithm.