482 datasets found

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.

The Sim10k dataset is a synthetic dataset for object detection.

The PASCAL VOC dataset contains 20 classes, including person, animal, vehicle, and indoor, with 9,963 images containing 24,640 annotated objects.

Microsoft COCO: common objects in images.

The dataset used in the paper is the COCO object detection and instance segmentation dataset, and the ADE20K semantic segmentation dataset.

Camouflaged object detection (COD) aims to search and segment camouflaged objects from single image.

Diffusion models have attracted significant attention due to the remarkable ability to create content and generate data for tasks like image classification. However, the usage...

MOT17Det is a dataset for people detection from the Multi-Object Tracking (MOT) Challenge 1. It comprises of 14 videos under different lighting, view, and weather conditions.

Remote sensing images have different shooting angles and methods compared to ordinary ones, which makes remote sensing images play an irreplaceable role in some areas.

The dataset used in the paper is the COCO dataset and the PASCAL VOC dataset.

The dataset used in the paper is a collection of adversarial patches, with each patch designed to evade object detection models.

The VOC2012 dataset is a multi-label image recognition dataset. It contains 11,540 train-val images and 10,991 test images.