345 datasets found

The dataset used for the object detection challenge in DAC-SDC 2019.

The dataset used for the low power object detection challenge in DAC-SDC 2019.

NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving

The dataset used in the paper is COCO and D2-City, which are commonly used detection datasets.

Unsupervised multi-object scene decomposition is a fast-emerging problem in representation learning. Despite significant progress in static scenes, models are unable to leverage...

The dataset used for this problem is presented in Honeybee Segmentation and Tracking Datasets project [Bozek et al., 2017]. One of the contributions of this work is an...

The Waymo Open dataset is a large-scale video dataset used for testing object-centric video models.

VehicleX dataset is a synthetic vehicle re-identification dataset which has over 190,000 images (14663 tracks) of 1300 vehicle identities.

CityCam dataset contains recordings from 212 traffic cameras in the United States, with a resolution of 352x240 and a frame rate of 1 frame/per second.

Tiny object detection has become an active area of research because images with tiny targets are common in several important real-world scenarios. However, existing tiny object...

The dataset used for the proposed MoCo-SAS framework, which consists of high-resolution Synthetic Aperture Sonar (SAS) data.

A dataset for training an object detection model to detect symbols in engineering drawings.

A dataset for training an object detection model to detect tables of legends from engineering drawings.

A method of finding and classifying various components and objects in a design diagram, drawing, or planning layout is proposed.

VizioMetrics is a dataset of 5,000 bitmap images and 30,000 textual annotations.

VisImages is a dataset of 12,267 images with captions from 1,397 papers in IEEE InfoVis and VAST. It includes 35,096 visualizations and their bounding boxes.

Many Multi-Object Tracking (MOT) approaches exploit motion information to associate all the detected objects across frames. However, many methods that rely on filtering-based...

The Scene Graph Generation (SGG) dataset contains 300,000 images with 10,000 object categories.

The dataset used in the paper is a subset of the Caltech Silhouettes database, consisting of 11 images with 42 to 59 pixels in each class.

The KITTI 2015 and KITTI 2012 datasets are used for stereo matching and object detection tasks.