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Microsoft COCO (MS-COCO) Dataset
A large-scale dataset for object detection and instance segmentation. -
77 GHz mmWave Radar-based Carried Object Detection
The proposed system is capable of real-time detecting three classes of objects - laptop, phone, and knife - under open carry cases and concealed cases where objects are hidden... -
MOT Challenge
Object detectors are vital to many modern computer vision applications. However, even state-of-the-art object detectors exhibit inconsistent behavior when the input undergoes... -
Microsoft COCO 2017 dataset
This dataset contains images paired with multiple human-annotated descriptions in the form of sentences. -
icon45 dataset
The icon45 dataset is used for object detection and recognition. -
CityPersons and CrowdHuman
CityPersons and CrowdHuman are two benchmark datasets for pedestrian detection. CityPersons contains 35k person and 13k ignore region annotations, while CrowdHuman contains 340k... -
A Parallel Implementation of Computing Mean Average Precision
Mean Average Precision (mAP) has been widely used for evaluating the quality of object detectors, but an efficient implementation is still absent. Current implemen- -
Shapes and Shapes Rotation
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... -
Depth Estimation and Object Detection
The dataset used for depth estimation and object detection. -
TinyPersons
The TinyPersons dataset is a small-scale dataset for object detection, consisting of images of tiny humans. -
VisDrone-MOT
The VisDrone-MOT dataset is a large-scale benchmark for multiple object tracking under drone scenes. -
Microsoft COCO object detection dataset
Microsoft COCO object detection dataset -
PASCAL VOC 2007 and PASCAL VOC 2012 object detection datasets
PASCAL VOC 2007 and PASCAL VOC 2012 object detection datasets