482 datasets found

Object detection has gained great progress driven by the development of deep learning. Compared with a widely studied task – classification, generally speaking, object detection...

Road damage data collected from Google Street View for training deep learning models.

Roadway damage data collection using Google Street View and YOLOv7 for automatic road damage detection and classification.

The KITTI Object Detection Benchmark consists of 7,481 training images and 7,518 testing images, with 3D LiDAR point clouds and camera images.

CenterPoseTrack is a joint detection and tracking method for category-level 6-DoF pose estimation of previously unseen object instances.

Objectron dataset contains 9 categories of objects with 15k video clips and over 4M frames annotated with 3D object bounding boxes, camera poses, sparse point clouds, and...

The dataset is used for panoramic dental X-ray analysis, specifically for abnormal tooth detection with quadrant, enumeration, and diagnosis.

VOC-DE is a dataset for object detection that uses DiffusionEngine to generate high-quality detection-oriented training pairs.

COCO-DE is a dataset for object detection that uses DiffusionEngine to generate high-quality detection-oriented training pairs.

DiffusionEngine is a scalable and efficient data engine for object detection that generates high-quality detection-oriented training pairs in a single stage.

Open-Set Semi-Supervised Object Detection aims to leverage the unconstrained unlabeled images to improve an object detector trained with the available labeled data.

Fine-Grained Visual Classification (FGVC) is an important computer vision prob-lem that involves small diversity within the different classes, and often requires expert...

The Modanet dataset is a large-scale street fashion dataset with polygon annotations.

The dataset used in the paper is the Cars Overhead With Context (COWC) dataset, which contains images of cars in overhead imagery.

A dataset of images with annotated objects.

The Open Images dataset is a large-scale image dataset with a wide range of images, including but not limited to, street scenes, indoor scenes, and outdoor scenes.

The BDD100k dataset is a large-scale driving dataset containing 100,000 images of various weather conditions, including clear, rainy, foggy, and night-time.

The ESD dataset offers finetuned weights for the 'car' and 'French-horn' classes.

The French-horn dataset comprises merely 10 identical prompts with different evaluation seeds.

The dataset used in the paper is the Pascal VOC 2012 dataset, which is a benchmark for instance segmentation. The dataset consists of 1464 images with 20 class categories and...