7 datasets found

The Attribute Pascal dataset is a large-scale image classification dataset containing 15339 images of 20 object categories.

The YOLOv3 dataset is a dataset for object detection and classification.

The proposed framework generates a training dataset in heterogeneous cluttered backgrounds for object detection and classification.

The dataset used in the paper is Caltech101, which is a natural image classification dataset. It contains 101 categories of natural images.

Object recognition is arguably the most important problem at the heart of computer vision. Recently, Barbu et al. introduced a dataset called ObjectNet which includes objects in...

The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category,...

Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...