PASCAL VOC Dataset

The PASCAL VOC Dataset is a large collection of images used to teach computers how to recognize objects like cars, animals, and people. It includes thousands of pictures, each carefully labeled with details about what objects are present and where they are located within the images. Researchers and developers use this dataset to train and evaluate object detection and recognition algorithms, helping machines understand visual information more accurately. Overall, it's a standard resource that has advanced the development of computer vision technologies across various applications.