1,082 datasets found

The ObMan dataset is a large synthetic dataset produced by rendering hand meshes with selected objects from ShapeNet.

The FHB dataset contains egocentric RGB-D videos on a wide range of hand-object interactions.

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...

The iNaturalist dataset is a crowdsourced compendium of living organisms, with fine- and coarse-grained species distinctions, a heavy-tailed class size distribution, and...

The dataset used for fine-tuning the CLIP model on the ImageNet-1K dataset.

ResNet and WRN datasets used for image classification tasks

VAW dataset (Pham et al., 2021) is a large-scale visual attributes dataset with bounding box labels for the attribution annotation.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CIFAR-100 and ImageNet-1k datasets for image classification and semantic...

Arbitrary style transfer generates an artistic image which combines the structure of a content image and the artistic style of the artwork by using only one trained network.

Brain tumor segmentation is a critical task for patient’s disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks,...

The dataset used in the paper is not explicitly mentioned, but it is implied to be ImageNet and CIFAR-10/100.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used VGG-16, ResNet-50, and MobileNet-v2 models on the ImageNet and CIFAR-10...

Neural radiance fields (NeRF) excel at synthesizing new views given multi-view, calibrated images of a static scene. When scenes include distractors, which are not persistent...

Synthetic datasets of transparent objects for training NeRF models.

CAMELYON-17 consists of 145 positive slides and 353 negative slides, where positive patches occupying less than 10% of the tissue area in positive slides.

The dataset used in the paper is a collection of RGB images of a tabletop scene, along with their corresponding camera poses and 3D geometry.

Geometry Sharing Network (GS-Net) for 3D point cloud classification and segmentation

Liver lesion dataset for classification using synthetic data augmentation

The KITTI-360 dataset is an extension of the KITTI dataset, containing 10 new sequences recorded in 2013, with a focus on 360-degree views.

The dataset used in the paper for image inpainting using Denoising Diffusion Probabilistic Models (DDPM).