1,082 datasets found

This paper proposes a dataset generation pipeline that uses physics simulation to generate images of objects in cluttered scenes.

The dataset used in the paper is the EuRoc micro aerial vehicle (MAV) datasets.

The dataset used in the paper is the LINEMOD and Occlusion LINEMOD datasets, which are used for 6D object pose estimation.

Image Recognition FeedbackLog

A new large ‘water on road’ dataset spanning approximately 2 km of driving in various on-road and off-road conditions.

The dataset is used for predicting multi-level socio-economic indicators from structural urban imagery.

A dataset for human pose estimation that consists of images with annotated body parts.

A dataset for human pose estimation that consists of images with annotated body parts.

A dataset for human pose estimation that consists of images with annotated body parts.

A dataset for human pose estimation that consists of images with annotated body parts.

A dataset for human pose estimation that consists of images with annotated body parts.

A graphical model for human pose estimation that exploits the fact that local image measurements can be used to detect parts and predict spatial relationships between them.

A dataset for transparent object detection and reconstruction on a mobile platform.

A dataset for intrinsic images, which is a representation of an image as a combination of a base image and a texture.

A large scale synthetic dataset for transparent objects learning, which can boost the performance for both our approach and competing methods in real-world testing cases.

Image segmentation and depth estimation are crucial tasks in computer vision, especially in autonomous driving scenarios.

The dataset used in this paper for predicting force exertion levels using computer vision and machine learning.

The dataset used in the paper is a modified version of the MNIST dataset, where each image is flipped horizontally or vertically, and the labels are changed accordingly.

The dataset used in the paper is a collection of point clouds with spinor features, where each point cloud is associated with a spinor feature and a regression target.

The KITTI 3D dataset consists of 7,481 images for training and 7,518 images for testing. The labels of the train set are publicly available and the labels of the test set are...