VOC Dataset

The VOC (Visual Object Classes) Dataset is a large collection of annotated images used to train and evaluate computer vision systems, especially for recognizing and locating objects within pictures. It includes thousands of images with labels marking objects like people, animals, and everyday items, along with their positions in the images. Researchers and developers use this dataset to improve algorithms that enable computers to understand visual content, such as identifying objects in photos or videos, supporting applications like self-driving cars, image search, and surveillance.