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PFN Picking Instructions for Commodities Dataset (PFN-PIC)
A new challenging dataset for real-world object picking tasks, consisting of 1,180 images with bounding boxes and text instructions annotated. -
edges2shoes
A dataset of 10 simple object classes (pineapple, soccer, basketball, etc.) with white backgrounds. -
NSVF Dataset
A dataset for training a Neural Sparse Voxel Fields (NSVF) model, containing 3D images of objects. -
Objects Room
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. -
iCubWorld dataset
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... -
Musical Instruments
The dataset used in the paper is a collection of objects organized in a perfectly balanced hierarchy of 4 levels, with 81 leaves. Each object was recorded 5 different times... -
Yale-CMU-Berkeley Dataset
The dataset used in the paper is a simulated dataset for scene understanding and planning tasks, containing images of objects and scenes. -
CIFAR-5m Dataset
The dataset used in this paper is the CIFAR-5m dataset, a collection of images of objects. -
TRansPose: Large-Scale Multispectral Dataset for Transparent Object
Transparent objects are encountered frequently in our daily lives, yet recognizing them poses challenges for conventional vision sensors due to their unique material properties,... -
Pascal VOC Challenge
The Pascal VOC Challenge dataset is a benchmark for object detection and image segmentation. -
Dollar Street
The Dollar Street dataset is a geographically diverse dataset with 38,479 images from 289 object categories. -
UKB object recognition benchmark
The UKB object recognition benchmark. -
Amodal Segmentation by Synthesizing Wholes
A synthetic dataset containing occluded objects paired with their whole counterparts. -
Gemini 720i Panel-Pipe dataset
The Gemini 720i Panel-Pipe dataset is a dataset containing sonar images of underwater objects, captured using a Tritech Gemini 720i FLS. -
Marine Debris Watertank dataset
The Marine Debris Watertank dataset is a dataset containing sonar images of underwater objects, captured using an ARIS Explorer 3000 FLS. -
Marine Debris Turntable dataset
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,... -
3D Object Recognition
3D object representation dataset -
ModelNet dataset
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.