82 datasets found

The Holidays dataset is used for testing the performance of the HAE on visual feature translation.

The Urban100 dataset is a benchmark for image denoising, containing 100 images with varying levels of noise.

The dataset used in the paper is RLBench, a standard benchmark for vision-based robotics which has been shown to serve as a proxy for real-robot experiments.

The dataset used in this paper is the BSDS500 dataset, which contains 200 natural images with over 1000 ground truth labellings.

A broad benchmark for applying machine learning models to solid-state materials.

speechocean762: An open-source non-native English speech corpus for pronunciation assessment.

The dataset used in the paper is a code generation benchmark, consisting of 164 function declarations alongside their documentation, 500 test examples, each one is an...

VLCS dataset is a benchmark for image classification, containing images from four different datasets (domains): VOC2007, LabelMe, Caltech, and SUN09.

The RL Unplugged dataset, a benchmark for offline reinforcement learning, consisting of 20 tasks with varying difficulty levels.

The YCB object and model set is a benchmark for manipulation research, consisting of 15 object categories and 3D models.

A benchmark dataset for cell nuclei segmentation, featuring approximately 700 segmented cell images.

The proposed method, dubbed Dynamic Hyperpixel Flow, learns to compose hypercolumn features on the fly by selecting a small number of relevant layers from a deep convolutional...

The proposed method, dubbed Dynamic Hyperpixel Flow, learns to compose hypercolumn features on the fly by selecting a small number of relevant layers from a deep convolutional...

The Medical Segmentation Decathlon dataset is a benchmark for medical image segmentation, containing 131 CT volumes.

A comprehensive benchmark for multi-subject driven text-to-video generation, covering a wide range of subject categories and diverse subject pairs.

The dataset used for training and testing the proposed RGBD-based obstacle avoidance system for visually impaired people.

The COCO 2017 detection benchmark dataset is used for evaluating the proposed TSP-FCOS and TSP-RCNN models.

A large-scale benchmark for evaluating the brain-likeness of neural networks.

The multimodal brain tumor image segmentation benchmark (brats).

The 3DMatch [26] is a well-known indoor registration dataset of 62 scenes captured by RGBD sensor.