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BDD-100K dataset
The dataset used in the paper is the BDD-100K dataset, a large-scale dataset for object detection tasks. -
Semantic Segmentation with Deep Convolutional Nets and Fully Connected CRFs
The Pascal VOC dataset is a benchmark for object detection and instance segmentation. -
Deformable DETR
A dataset for object detection tasks, including deformable transformers. -
Open Images Dataset V4
A dataset for image classification, object detection, and visual relationship detection. -
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
Open-vocabulary object detection (OvOD) has transformed detection into a language-guided task, empowering users to freely define their class vocabularies of interest during... -
ImageNet classification
ImageNet classification dataset, COCO dataset -
The inaturalist species classification and detection dataset
The inaturalist species classification and detection dataset. -
Slot Attention
A dataset of videos of a robot interacting with blocks of different shapes and colors placed on a table in a simulation environment. -
iCubWorld Transformations
iCubWorld Transformations (iCWT): a dataset for object recognition and manipulation -
Pascal VOC-OS
Open-set object detection datasets -
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... -
MS COCO dataset
The MS COCO dataset is a large benchmark for image captioning, containing 328K images with 5 caption descriptions each. -
PASCAL VOC 2007
Multi-label image recognition is a practical and challenging task compared to single-label image classification.