221 datasets found

The proposed dataset collection system using a small hand–eye robot and a rotating stage.

The proposed dataset collection system using a small hand–eye robot and a rotating stage.

The proposed robotic waste-sorting system with the robust detection and agile manipulation needed for recycling factories.

The nuScene dataset contains images and annotations of objects in the scene.

The authors used their own dataset for the experiments.

The WSID-100 dataset is used to train a CNN for object detection.

The VOC dataset is used to train a CNN for object detection.

The Caltech-256 object category dataset is used to train a CNN for object detection.

The dataset used in the paper is not explicitly described, but it is mentioned that it is a robotic task dataset.

The dataset used in the concrete compressive strength problem, containing information about concrete compressive strength, concrete components, and age.

The COCO panoptic dataset combines the original COCO dataset with COCO-stuff, merging some stuff classes based on [32]. It contains 118K training and 5K validation images...

A large-scale dataset for object detection and instance segmentation.

The proposed system is capable of real-time detecting three classes of objects - laptop, phone, and knife - under open carry cases and concealed cases where objects are hidden...

Object detectors are vital to many modern computer vision applications. However, even state-of-the-art object detectors exhibit inconsistent behavior when the input undergoes...

This dataset contains images paired with multiple human-annotated descriptions in the form of sentences.

The icon45 dataset is used for object detection and recognition.

OSIE is a benchmark containing a set of 700 images with object and semantic level information.

IDD dataset for Indian Road Scenarios contains 10K frames from 180 videos.

Object detection dataset used for training and testing the proposed alert system.

Mean Average Precision (mAP) has been widely used for evaluating the quality of object detectors, but an efficient implementation is still absent. Current implemen-