106 datasets found

Recognizing person in UAV images faces two main challenges: significant size difference and uncertain rotation variations.

The dataset used in the paper is dsprites: Disentangle-ment testing sprites dataset, which consists of 26,000 naturalistic object images.

The Stanford Cars dataset is a dataset of images of cars, with 196 categories and approximately 16,000 images. The authors created a synthetic dataset by adding occlusions of...

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...

LINEMOD dataset is a widely used instance-level 6D object pose estimation dataset which consists of 13 different objects with significant shape variation.

The Willow Object Class dataset comprises 304 images gathered from Caltech-256 (Griffin et al., 2007) and Pascal VOC 2007 (Everingham et al., 2007).

The dataset used in the paper is a collection of images of objects with varying viewpoints, used for training and testing the proposed RRB framework.

The ModelNet40 dataset is a collection of 3D models, each with multiple views and annotations.

The Sketchy dataset contains sketches of objects and scenes

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.

Interaction Networks: Using a Reinforcement Learner to train other Machine Learning algorithms

The dataset used in this paper for multi-sensor next-best-view planning as matroid-constrained submodular maximization.

The Small-NORB dataset is a dataset of 4,000 images of 6 classes, each class containing 60 images of size 16x16.

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

The MiniImagenet dataset is a benchmark for few-shot learning, consisting of 60,000 images from 21 classes, each with 300 images.

The authors propose a novel coordinate transform that normalizes the image coordinates of the events by the timestamp of each event.

The event-based camera is a bio-inspired camera that captures the change of logarithmic light intensity of an image. The authors propose a novel coordinate transform that...

Sketchy is a large collection of sketch-photo pairs. The dataset consists of images from 125 different classes, with 100 photos each.

The PoseCNN dataset is a dataset for 6D object pose estimation in cluttered scenes.

Multi-label image recognition is a practical and challenging task compared to single-label image classification.