The Pascal VOC challenge is a very popular dataset for building and evaluating algorithms for image classification, object detection, and segmentation.
- Training Dataset. Documentation & Development Kit
- For Testing Data Register here
- Training & Testing Data
- Main Task
- Classification :
- For each of the classes predict the presence/absence of at least one object of that class in a test image.
- Detection :
- For each of the classes predict the bounding boxes of each object of that class in a test image (if any).
- Segmentation :
- For each pixel in a test image, predict the class of the object containing that pixel or ‘background’ if the pixel does not belong to one of the twenty specified classes.
- Action Classification
- Large Scale Recognition
- Classification :
- Additional “taster” Task
- Boxless Action Classification
- Person Layout