482 datasets found

Occupancy prediction plays a pivotal role in au-

Pedestrian detection: An evaluation of the state of the art.

The dataset used in this paper is the RetinaNet object detector.

The dataset used in this paper is the Focal Loss for dense object detection.

The dataset used in this paper is the Faster R-CNN object detector.

The dataset used in this paper is the Microsoft COCO 2014 dataset.

The dataset used in this paper is the Faster R-CNN and RetinaNet object detectors.

Single Shot MultiBox Detector.

The VisDrone dataset is a large-scale dataset for object detection in aerial images.

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.

A dataset for object detection tasks, including deformable transformers.

The dataset used in the paper to evaluate the effectiveness of the Unlearnable Clusters (UCs) technique.

The MIT-Adobe FiveK dataset, a large-scale dataset for image segmentation and object detection.

ABOSHIPS - AN INSHORE AND OFFSHORE MARITIME VESSEL DETECTION DATASET WITH PRECISE ANNOTATIONS

A new object detection pipeline that combines geometric information from Visual-Inertial Odometry (VIO) with semantic information from object detectors to improve the...

Region-based convolutional neural networks (R-CNN) have largely dominated object detection. Operators defined on RoIs (Re-gion of Interests) play an important role in R-CNNs such...

BDD-100k dataset

A universal targeted label-switch patch that changes an OD's detection of car on which it is applied, from the correct target class (car) to a bus.