265 datasets found

This dataset contains images paired with multiple human-annotated descriptions in the form of sentences.

The icon45 dataset is used for object detection and recognition.

OSIE is a benchmark containing a set of 700 images with object and semantic level information.

CityPersons and CrowdHuman are two benchmark datasets for pedestrian detection. CityPersons contains 35k person and 13k ignore region annotations, while CrowdHuman contains 340k...

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

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

Mean Average Precision (mAP) has been widely used for evaluating the quality of object detectors, but an efficient implementation is still absent. Current implemen-

COCOStuff is a scene-centric dataset with a total of 80 things and 91 stuff categories.

The dataset used in the paper is a collection of sequences with patterns of different shapes and speeds, and a new dataset collected with the Baxter robot in a manipulation task...

The dataset used for depth estimation and object detection.

The TinyPersons dataset is a small-scale dataset for object detection, consisting of images of tiny humans.

Object detection on Unmanned Aerial Vehicles (UAVs) is still a challenging task. The recordings are mostly sparse and contain only small objects.

The DTB70 dataset is a large-scale benchmark for drone object detection and tracking.

The VisDrone-MOT dataset is a large-scale benchmark for multiple object tracking under drone scenes.

Microsoft COCO object detection dataset

PASCAL VOC 2007 and PASCAL VOC 2012 object detection datasets

ALFA: Agglomerative Late Fusion Algorithm for Object Detection

EPIC-KITCHENS is a large-scale egocentric video benchmark recorded by 32 participants in their native kitchen environments. Our videos depict non-scripted daily activities: we...

The BDD100K MOTS dataset is a subset of the BDD100K dataset, containing 154 videos with annotation for training and validation, and 37 videos for testing.

The Davis dataset contains fifty high-resolution videos with pixel-accurate ground truth.