PASCAL VOC
Abstract
The PASCAL VOC (Pattern Analysis, Statistical Modelling and Computational Learning Visual Object Classes) dataset is a classic benchmark dataset for general visual object recognition and detection, which covers 20 categories of common objects and has become an important reference for algorithm performance comparison in the field of computer vision due to its standardized evaluation system and open dataset partitioning scheme.
Fields of Study & Subjects
Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset