50 datasets found

A new challenging dataset for real-world object picking tasks, consisting of 1,180 images with bounding boxes and text instructions annotated.

A dataset of 10 simple object classes (pineapple, soccer, basketball, etc.) with white backgrounds.

A dataset for training a Neural Sparse Voxel Fields (NSVF) model, containing 3D images of objects.

The Playroom is a Unity-based environment for object-centric tasks [69, 46], originally released as pre-packaged Docker containers with an Apache 2.0 license.

Objects Room was a MuJoCo-based dataset originally released under the Apache 2.0 license and used for prior work such as GQN and MONet.

The iCubWorld dataset is a benchmark for object recognition in robotics. It consists of 150 objects evenly divided into 15 categories with their appearance changing due to...

The dataset used in the paper is a simulated dataset for scene understanding and planning tasks, containing images of objects and scenes.

Transparent objects are encountered frequently in our daily lives, yet recognizing them poses challenges for conventional vision sensors due to their unique material properties,...

The Pascal VOC Challenge dataset is a benchmark for object detection and image segmentation.

The Dollar Street dataset is a geographically diverse dataset with 38,479 images from 289 object categories.

The UKB object recognition benchmark.

A synthetic dataset containing occluded objects paired with their whole counterparts.

The Gemini 720i Panel-Pipe dataset is a dataset containing sonar images of underwater objects, captured using a Tritech Gemini 720i FLS.

The Marine Debris Watertank dataset is a dataset containing sonar images of underwater objects, captured using an ARIS Explorer 3000 FLS.

The Marine Debris Turntable dataset is a dataset containing sonar images of underwater objects, captured using an ARIS Explorer 3000 FLS, with objects in a rotating platform,...

The dataset used for training a Convolutional Neural Network to predict a grasp quality score over all grasp poses, given a depth image of an object.

The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images...

The dataset used in the paper is ShapeNet-13, a collection of 3D models of objects

The THINGS dataset is a large-scale object concept dataset.

A dataset of 3D models, including chairs, tables, and other objects.