453 datasets found

Multispectral object detection for autonomous vehicles

Multispectral Object Detection with Deep Learning

The COCO 2014 validation set is used for evaluating the performance of the proposed method.

Linley et al. (2014) - Microsoft COCO

The COCO-stuff dataset is a large-scale dataset for scene understanding, object detection, and image synthesis.

The dataset used for training and testing the proposed RGBD-based obstacle avoidance system for visually impaired people.

A benchmark for object detection

Object detection using a top-down visual attention model

DIW dataset is a dataset containing images labelled with relative depths. It is used for depth estimation and object detection tasks.

The dataset is used for object detection and superpixel segmentation tasks.

The CAMO dataset is the first COD dataset, containing 1,250 camouflaged images and 1,250 non-camouflaged images.

A large-scale dataset for object detection in aerial images, containing 11,268 images and 1,793,658 objects.

The dataset used in the paper is the Swin-B dataset, a variant of the Swin Transformer model.

Dataset for autonomous package delivery using micro-class UAVs, consisting of 5 videos at 30 frames per second and 1100 keyframes annotated with a bounding box enclosing the...

The VisDrone-2019-DET dataset is a comprehensive benchmark facilitating the integration of drone technology and visual perception.

Keypoint-based object detection using CornerNet-Lite

The dataset used in the paper is iNaturalist-18/19, a dataset for object detection and image classification.

The dataset used in the paper is iNaturalist 2018 and iNaturalist 2019, two datasets for object detection and image classification.

The FGVC Aircraft dataset is a dataset of images of aircraft, where each image is classified into one of 100 categories.

Airplane detection dataset using drone images