482 datasets found

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

The dataset used in this paper for moving object detection.

The Open Image Dataset V4 is a large-scale object detection dataset with diverse images.

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.

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.

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.

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

ExDark and DARK FACE datasets for dark object detection and face detection

A roadside LiDAR-based detection and tracking approach for pedestrians and vehicles

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

Moving Object Detection (MOD) dataset for fisheye cameras, focusing on autonomous driving scenes.

The VOC2007 dataset contains 20 classes and 9,962 images (5011 for training and 4951 for testing).

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

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

KITTI tracking dataset provides 21 training and 29 test sequences. The dataset provides 2D bounding box annotations for cars, pedestrians, and 6 other classes, but only the...

Microsoft COCO 2014 and 2017 datasets for object detection, segmentation, and captioning