Object Recognition - Groups

Pascal VOC Challenge

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

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Open Images Dataset

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...

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Selective Search for Object Recognition

Selective search is a method for object detection.

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iCubWorld Transformations

iCubWorld Transformations (iCWT): a dataset for object recognition and manipulation

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Stanford Cars dataset

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...

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PASCAL VOC 2007

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

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LSUN

The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.

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ImageNet Large Scale Visual Recognition Challenge

A benchmark for low-shot recognition was proposed by Hariharan & Girshick (2017) and consists of a representation learning phase without access to the low-shot classes and a...

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ImageNet-1k

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for language modeling and image classification tasks.

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9 datasets found