227 datasets found

The Tecnick dataset is a dataset of 10 images, each with a size of 512x512 pixels.

The dataset used in this paper is the FashionMNIST dataset, which consists of 60,000 images of clothing items from 10 different classes.

The dataset used in this paper is a CT slice dataset, which comprises a collection of 53,500 CT images obtained from 74 different patients, encompassing 43 males and 31 females.

The dataset used in this paper is the CIFAR10 dataset, which contains 60,000 32x32 color images in 10 classes, with 6,000 images per class.

The BABEL dataset is a multilingual speech recognition dataset containing over 1,000 hours of speech from 6 languages.

A dataset for the development and evaluation of segmentation algorithms for various medical imaging modalities.

A large annotated medical image dataset for the development and evaluation of segmentation algorithms.

The dataset contains 625 malicious installers, including real-world malware, and 141 benign installers.

The dataset used in the paper is the OpenImage dataset.

The 2DMOT15 and 2DMOT16 datasets are used to evaluate the performance of the proposed online MOT algorithm.

The dataset used in the paper is the Pascal VOC 2012 dataset, which is a benchmark for instance segmentation. The dataset consists of 1464 images with 20 class categories and...

COCO Stuff dataset is an extension of the COCO dataset, 164,000 images covering 171 classes are annotated with segmentation masks.

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...

A dataset of datasets for learning to learn from few examples.

The Caltech dataset is a dataset of images used to evaluate the performance of the ODIN system.

The Indian Food dataset is a dataset of images used to evaluate the performance of the ODIN system.

AWA2 is an animal dataset containing 37,322 images from 50 classes, with 85 attributes provided by experts to describe the semantic feature of each class.

The CUB dataset is a collection of images of landbirds and waterbirds from the CUB dataset, combined with images from Places dataset as background.

The Stanford Drone Dataset is a well-established benchmark for human trajectory prediction in bird’s eye view. The dataset consists of 20 scenes captured using a drone in...

A dataset for multi-sensor drone detection