453 datasets found

Person search unifies person detection and person re-identification (Re-ID) to locate query persons from the panoramic gallery images. One major challenge comes from the...

CUHK-SYSU is a large-scale dataset designed for person search, which contains 18,184 scene images captured from street nap and movie screenshot.

The ADL Dataset is a public dataset used for object detection in wearable videos. It contains 27000 frames extracted from 10 hours of video recorded with a chest-mounted GoPro...

Few-shot object detection aims at learning a detector that can fast adapt to previously unseen objects with scarce annotated examples, which is challenging and demanding.

Propose-and-attend single shot detector for object detection

The OpenImagesV4 dataset is a large benchmark dataset for object detection and image classification. It contains 1.7 million images with 1,000 object classes.

The dataset used in the paper is a video prediction dataset with occlusions, which is used to evaluate the proposed Fast Fourier Inception Networks (FFINet) for occluded video...

The dataset used for object detection on limited datasets

FoveaBox is a completely anchor-free framework for generic object detection. It directly predicts the object existing possibility and the corresponding boundary for each...

The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

The internal dataset contains 6 million real-world driving scenarios from Las Vegas (LV), Seattle (SEA), San Francisco (SF), and the campus of the Stanford Linear Accelerator...

The PASCAL VOC 2007, 2010, 2012 datasets, the ILSVRC 2013 dataset, and the MSCOCO 2014 dataset.

A min-entropy latent model (MELM) for weakly supervised object detection.

CitDet is a benchmark dataset for citrus fruit detection in orchards. It contains high-resolution images of citrus trees affected by Huanglongbing (HLB) disease, along with...

The MSCOCO dataset is a large-scale object detection dataset.

A Deep Learning Approach to Traffic Lights: Detection, Tracking, and Classification.

A dataset of videos of a robot interacting with blocks of different shapes and colors placed on a table in a simulation environment.

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

The Car Accident Detection and Prediction (CADP) dataset is a novel dataset for accident forecasting using traffic camera views. It provides a novel view for traffic accident...

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