9 datasets found

A dataset of 9,500 256x256 color images of 20 animal breeds.

This dataset is used to train a Convolutional Neural Network (CNN) to classify objects from web images. The dataset is created by downloading images from the web using a query...

The ORBIT dataset is a collection of videos recorded on cell phones by people who are blind or low-vision. The dataset consists of 3,822 videos with 486 object categories...

The dataset used in the paper is CIFAR10-DVS, a dataset of 10,000 event streams of 128x128 images.

Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen...

The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.

The dataset used in this paper is a neural network, and the authors used it to test the performance of their lookahead pruning method.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for language modeling and image classification tasks.

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...