Object Detection - Groups

IDD

IDD dataset for Indian Road Scenarios contains 10K frames from 180 videos.

Dataset
JSON

BDD

Object detection dataset used for training and testing the proposed alert system.

Dataset
JSON

PASCAL-5i

Few-shot segmentation remains challenging due to the limitations of its labeling information for unseen classes. Most previous approaches rely on extracting high-level feature...

Dataset
JSON

PASCAL Visual Object Classes Challenge

The PASCAL Visual Object Classes Challenge (VOC) is a benchmark dataset for object detection and semantic segmentation.

Dataset
JSON

Synscapes

The dataset used in the paper is a synthetic dataset for image-based object detection tasks, specifically instance segmentation and monocular 3D detection.

Dataset
JSON

COCO object detection and instance segmentation, ADE20K semantic segmentation

The dataset used in the paper is the COCO object detection and instance segmentation dataset, and the ADE20K semantic segmentation dataset.

Dataset
JSON

VOC2012

The VOC2012 dataset is a multi-label image recognition dataset. It contains 11,540 train-val images and 10,991 test images.

Dataset
JSON

Cityspace

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

Dataset
JSON

SBD dataset

The SBD dataset is a benchmark dataset for semantic segmentation and object detection.

Dataset
JSON

COCO 2017 Dataset

The COCO 2017 Dataset is a large-scale benchmark dataset for object detection, semantic segmentation, and instance segmentation.

Dataset
JSON

CAE v2: Context Autoencoder with CLIP Target

Masked image modeling (MIM) learns visual representation by masking and reconstructing image patches. Applying the reconstruction supervision on the CLIP representation has been...

Dataset
JSON

CamVid Dataset

CamVid dataset is a benchmark dataset for semantic segmentation. It consists of 700 images with 11 object classes.

Dataset
JSON

Pascal VOC 2012

The dataset used in the paper is the Pascal VOC 2012 dataset, which is a benchmark for instance segmentation. The dataset consists of 1464 images with 20 class categories and...

Dataset
JSON

ImageNet-1K, ADE20K, and COCO 2017

The dataset used in the paper is ImageNet-1K, ADE20K, and COCO 2017.

Dataset
JSON

COCO Stuff

COCO Stuff dataset is an extension of the COCO dataset, 164,000 images covering 171 classes are annotated with segmentation masks.

Dataset
JSON

ND-MLS dataset

The bottle, grass, cat, and horse datasets were created for semantic segmentation tasks. The datasets contain images of 4 object types. The ND-MLS dataset was evaluated on...

Dataset
JSON

PASCAL Context

The PASCAL Context dataset is a benchmark for multi-task learning in computer vision. It contains 10103 images with 5 tasks: semantic segmentation, human body part segmentation,...

Dataset
JSON

PASCAL VOC 2007

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

Dataset
JSON

ImageNet, MS COCO, and Pascal VOC datasets

The dataset used in the paper is ImageNet, MS COCO, and Pascal VOC datasets.

Dataset
JSON

Argoverse-HD, Cityscapes, and nuScenes

The dataset used in the paper is Argoverse-HD, Cityscapes, and nuScenes.

Dataset
JSON

32 datasets found