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The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
The unmanned aerial vehicle benchmark: Object detection and tracking. -
LVIS: A dataset for open-vocabulary object detection
A dataset for open-vocabulary object detection. -
arXiv:2012.15827 - Osco et al. (2021)
A dataset of RGB images from corn and citrus fields with plantation-rows and plants detected and counted. -
Authors' Own Dataset
The authors' own dataset is used for object detection in thermal images. -
R-CNN minus R
Deep convolutional neural networks (CNNs) have had a major impact in most areas of image understanding, including object category detection. -
SSDD dataset
SSDD dataset contains 1160 images of resolution from 1m to 15m in total, where the training set includes 928 images and the test set includes the remaining 232 images. -
DOTA dataset
DOTA dataset is a large-scale dataset for object detection in aerial images including 2806 aerial images with each image ranging from 800 × 800 to 4000 × 4000 pixels collected... -
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.
