249 datasets found

ALFA: Agglomerative Late Fusion Algorithm for Object Detection

EPIC-KITCHENS is a large-scale egocentric video benchmark recorded by 32 participants in their native kitchen environments. Our videos depict non-scripted daily activities: we...

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 Davis dataset contains fifty high-resolution videos with pixel-accurate ground truth.

The dataset used for video segmentation, including Moving MNIST, Change detection, Segtrack V2, and Davis datasets.

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 for object detection, including PASCAL VOC 2007, PASCAL VOC 2012 and MS COCO.

Egocentric video dataset for object detection and segmentation

A dataset of 13,887 bitewings from the HUNT4 Oral Health Study were annotated individually by six different experts, and used to train three different object detection...

The dataset used for camera calibration and object detection for marine vessel tracking.

A dataset of 45 video recordings of hospital patients for patient detection using continuous video recordings.

The PASCAL VOC 2012 dataset is used for training and testing the proposed DeePM model.

The proposed Dynamic R-CNN method for object detection, which adjusts the label assignment criteria and the shape of regression loss function based on the statistics of...

The PASCAL VOC 2010 dataset is a popular dataset used to benchmark Object Detection models, containing bounding box coordinates and class labels for each object.

The PASCAL-Part 2010 dataset is a set of additional annotations for PASCAL VOC 2010, providing segmentation masks for each body part of the object and silhouette annotation for...

The Pascal VOC Challenge dataset is a benchmark for object detection and image segmentation.

ChainerCV supports algorithms to solve tasks in the computer vision field such as object detection, while considering usability and predictable performance as the top priorities.