482 datasets found

Object detection on Unmanned Aerial Vehicles (UAVs) is still a challenging task. The recordings are mostly sparse and contain only small objects.

The PointPillars dataset is a benchmark for object detection in 3D point clouds.

Microsoft COCO object detection dataset

PASCAL VOC 2007 and PASCAL VOC 2012 object detection datasets

ALFA: Agglomerative Late Fusion Algorithm for Object Detection

The Imagenette dataset used in the paper for class density and dataset quality in high-dimensional, unstructured data.

The Caltech dataset is a benchmark for pedestrian detection, consisting of approximately 10 hours of video taken from a vehicle driving through Los Angeles.

Scale-sensitive object detection remains a challenging task, where most of the existing methods could not learn it explicitly and are not robust to scale variance.

The dataset used in the paper is the COCO detection benchmark.

The FSCD-LVIS dataset is used to evaluate the proposed method.

A dataset for construction equipment detection.

The BDD100K MOTS dataset is a subset of the BDD100K dataset, containing 154 videos with annotation for training and validation, and 37 videos for testing.

The caltech-ucsd birds-200-2011 dataset.

The dataset used in the paper is COCO 2017 and HICO-DET

The dataset used for training the Anonymization Prompt Learning (APL) model, containing names of public figures and their corresponding attribute descriptions.

A dataset for unified image classification, object detection, and visual relationship detection, consisting of 9.2 million images.

The image object detection track on VisDrone2018 provides a dataset of 10,209 images, with 10 categories of pedestrians, vehicles, and other traffic objects annotated.

The KITTI benchmark dataset is used to evaluate the performance of the proposed method. The dataset contains large-scale outdoor sequences of images captured by a forward-facing...

The dataset used in this paper is the MS COCO val2017 dataset, which is a subset of the MS COCO dataset used for validation.

The dataset used in the paper is the MS-COCO 2017 Detection task.