119 datasets found

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 a simulated dataset for scene understanding and planning tasks, containing images of objects and scenes.

The dataset used in the paper is the Caltech 256 database.

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

A large-scale hierarchical image database for scene recognition.

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 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

The rotMNIST dataset contains 28 × 28 grayscale images of digits from 0 to 9, randomly rotated by an angle uniformly distributed from 0 to 2π.

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

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

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.