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Microsoft Research Cambridge Object Recognition Image Database
The Microsoft Research Cambridge Object Recognition Image Database. -
CIFAR-10 and Fashion-MNIST datasets
The authors used the CIFAR-10 and Fashion-MNIST datasets for semi-supervised federated learning-based UAV image recognition tasks. -
Visual Data
The dataset contains visual data from various sources, including images, videos, and social media posts. -
Fashion Matching Product Dataset
The fashion matching product dataset is a collection of images of fashion products, annotated with bounding boxes, category labels, and fashion attributes. -
Single-Product Dataset
The single-product dataset is a collection of images of products on white backgrounds, annotated with bounding boxes and category labels. -
Shop The Look: Building a Large Scale Visual Shopping System
Shop The Look is a visual shopping system at Pinterest, which allows users to discover and purchase products within images. -
Animal with Attributes 2
Zero-shot learning dataset for image recognition -
Autonomous Vehicle Dataset
The dataset used in the paper is a collection of autonomous vehicle scenarios, where each scenario is represented as a 3x3 grid encoding. The scenarios are encoded using Pauli-X... -
Animals with Attributes (AwA) dataset
The Animals with Attributes (AwA) dataset consists of 50 classes of animals, with 30,475 images in total. -
Drawing Recognition dataset
The Drawing Recognition dataset is used to recognize drawings. -
Image Recognition FeedbackLog
Image Recognition FeedbackLog -
An evidential deep-learning classifier based on Dempster-Shafer theory and dee...
The proposed classifier consists of several stages for feature representation, a DS layer to construct mass functions, and an expected utility layer to make set-valued... -
MNIST dataset for handwritten digits
The MNIST dataset is a collection of images of handwritten digits, with size n = 70,000 and D = 784. -
Binary Image Database
A set of binary images of 9 classes, including bird, camel, children, elephant, fork, hammer, key, ray and turtle. -
DollarStreet
DollarStreet dataset includes 38k images of household objects across homes from 54 countries and with different income levels. -
Very Deep Convolutional Networks for Large-Scale Image Recognition
The dataset consists of 60,000 images of objects in 200 categories, with 300 images per category. -
Self-Attention Networks
Self-Attention Networks dataset is used for image recognition tasks. -
Inception V2
Inception V2 is a deep neural network for image recognition. It uses a convolutional neural network (CNN) architecture and is trained on a large dataset of images. -
iNaturalist dataset
The iNaturalist dataset is a crowdsourced compendium of living organisms, with fine- and coarse-grained species distinctions, a heavy-tailed class size distribution, and...
