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Oxford-IIIT Pets
A dataset of 9,500 256x256 color images of 20 animal breeds. -
STL-10 dataset
The dataset used in this paper is a collection of images from the STL-10 dataset, preprocessed and used for training and evaluation of the proposed diffusion spectral entropy... -
CIFAR10-DVS
The dataset used in the paper is CIFAR10-DVS, a dataset of 10,000 event streams of 128x128 images. -
YOLOv3 Dataset
The YOLOv3 dataset is a dataset for object detection and classification. -
Improving Learning Effectiveness For Object Detection and Classification in Cl...
The proposed framework generates a training dataset in heterogeneous cluttered backgrounds for object detection and classification. -
Caltech101
The dataset used in the paper is Caltech101, which is a natural image classification dataset. It contains 101 categories of natural images. -
ImageNet Dataset
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... -
COCO Dataset
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,... -
CIFAR-10 Dataset
The dataset used in this paper is a neural network, and the authors used it to test the performance of their lookahead pruning method. -
ModelNet40
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...