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CornerNet dataset
The CornerNet dataset is a benchmark for bottom-up object detection. It contains 80 categories and over 1.5 million object instances. -
COCO Test-Dev Set
The COCO test-dev set is a subset of the COCO detection dataset. -
COCO Validation Set
The COCO validation set is a subset of the COCO detection dataset. -
COCO Detection Dataset
The COCO detection dataset is a large-scale object detection benchmark. -
YOLOv3 Dataset
The YOLOv3 dataset is a dataset for object detection and classification. -
Improving Learning Effectiveness For Object Detection and Classification in Cl...
The proposed framework generates a training dataset in heterogeneous cluttered backgrounds for object detection and classification. -
ImageNet-Dogs
The dataset used in the paper for image classification, object detection, and face verification tasks. -
OpenImages dataset
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the OpenImages dataset to train their models. -
KITTI 2012
KITTI 2012 is a real-world dataset in the outdoor scenario, and contains 194 training and 195 testing stereo image pairs with the size of 376 × 1240. -
MS COCO2017
The dataset used in the paper is MS COCO2017, a large-scale object detection dataset. -
COCO validation dataset
COCO validation dataset -
KITTI object detection dataset
The KITTI object detection dataset is used for evaluating the proposed method.
