54 datasets found

Scanned objects dataset

The TSS dataset is a benchmark dataset for object recognition. It consists of 400 image pairs from 3 object categories.

A dataset for object recognition and manipulation

The COIL100 dataset is a benchmark dataset for object recognition and image classification.

The VOC2007 dataset is a benchmark dataset for object recognition and image classification.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested their model on various signal reconstruction tasks: 1D sinusoidal...

SmallNORB dataset

The proposed method Memory-Augmented Relation Network (MRN) for few-shot learning.

Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.

A dataset of 85 eyeglasses frames under different viewpoints and fixed illumination.

Spatial pattern templates for recognition of objects with regular structure.

EEG dataset for Object Recognition

Cat Head is a dataset containing 9k images of cat heads each annotated with 7 landmarks.

The dataset is used for training a neural network for computational 3D phase imaging of multiple-scattering samples.

The Sprites dataset has 672 synthetically rendered animated characters (sprites). The dataset is split into a training set with 500, a validation set with 72, and a test set...

The Stanford Online Products (SOP) dataset contains 120,053 product images covering 22,634 categories. The training set is composed of 59,551 images of the first 11,318...

Selective search is a method for object detection.

The CIFAR-100 dataset consists of 100 classes of 32 × 32 RGB images with 60,000 training and 10,000 testing examples.

The dataset used in the study on scale and translation-invariance for novel objects in human vision.

The dataset used in the study on translation tolerance in human visual pattern recognition.