466 datasets found

The COCO-LT dataset is a long-tail version of the COCO dataset.

Two-stage object detectors generate object proposals and classify them to detect objects in images. The proposals do not contain the objects perfectly but overlap with them in...

The Cityscapes dataset consists of 8 thing classes and 11 stuff classes.

The dataset used in the paper is YOLOX-Nano dataset.

The dataset used in the paper is YOLOF dataset.

The dataset used in the paper is ImageNet, MS COCO, and Pascal VOC datasets.

The proposed model uses the Broad Bioimage Benchmark Collection (BBBC) dataset to detect objects in images.

The dataset used in the paper is Argoverse-HD.

The dataset used in the paper is Argoverse-HD, Cityscapes, and nuScenes.

The MSCOCO dataset is a large-scale image captioning dataset, containing 113,287 images with 5,000 validation images and 5,000 test images. The dataset is used for training and...

Multi-task learning (MTL) research is broadly divided into two categories: one is to learn the correlation between tasks through model structures, and the other is to balance...

The ICCV dataset is a benchmark for learning deep object detectors from 3D models.

The Pets 2016 dataset is a benchmark for object detection in images.

The SafeSea dataset is created using the SafeSea method, involving the transformation of 300 calm ocean background images originally sourced from the 'SeaDroneSee' dataset.

A large-scale hierarchical multi-view RGB-D object dataset.

A large-scale 3D database of object instances for scene understanding.

A new multi-view RGB-D dataset for object instance detection and recognition of commonly encountered household objects in realistic settings.

The Occluded Prohibited Items X-ray (OPIXray) image benchmark is a high-quality object detection dataset for security inspection, containing 8885 X-ray images of 5 categories of...

The KITTI object detection benchmark dataset.

ProgS-RCNN: Progressive End-to-End Object Detection in Crowded Scenes