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MS COCO 2017
The dataset used in this paper is a collection of frames for video coding, with different Quantisation Parameters (QPs) and frame types. -
PASCAL VOC10 Dataset
The PASCAL VOC10 dataset is a dataset for object detection, with 20 classes and a large number of images. -
SUN2012 Dataset
The SUN2012 dataset is a challenging dataset for object detection, with large cluttered scenes and small objects. -
ND-MLS dataset
The bottle, grass, cat, and horse datasets were created for semantic segmentation tasks. The datasets contain images of 4 object types. The ND-MLS dataset was evaluated on... -
Faster R-CNN
The Faster R-CNN dataset is a large-scale object detection dataset, containing over 100,000 images with 80 categories. -
PASCAL Context
The PASCAL Context dataset is a benchmark for multi-task learning in computer vision. It contains 10103 images with 5 tasks: semantic segmentation, human body part segmentation,... -
COCO 2017 object detection dataset
The COCO 2017 object detection dataset is used in this paper for evaluation of the proposed DEYOv2 model. -
CrowdHuman validation dataset
The CrowdHuman validation dataset contains 4370 images of people in highly crowded settings. -
MS COCO mini-val dataset
The MS COCO mini-val dataset contains 5000 images of 80 classes. -
Confluence: A Robust Non-IOU Alternative to Non-Maxima Suppression in Object ...
Confluence is a novel non-Intersection over Union (IoU) alternative to Non-Maxima Suppression (NMS) in bounding box post-processing in object detection. -
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...
