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MetaDetect
The dataset used for object detection with deep neural networks, including Kitti, Pascal VOC, and COCO datasets. -
VisDrone2019-Det
Object detection with Unmanned Aerial Vehicles (UAVs) has attracted much attention in the research field of computer vision. However, not easy to accurately detect objects with... -
Mask R-CNN
The dataset used in this paper for training and testing the KAISA optimizer framework. -
COCO 2017 Detection Dataset
A large dataset for object detection, containing 118k training images and 5k validation images. -
Adaptive Clustering Transformer
End-to-end Object Detection with Adaptive Clustering Transformer -
PASCAL VOC 2007
Multi-label image recognition is a practical and challenging task compared to single-label image classification. -
UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection
Aerial-ground collaborative perception framework for 3D object detection -
Pascal Visual Object Classes (VOC) Challenge
The Pascal Visual Object Classes (VOC) challenge is a benchmark for object detection and segmentation. -
KITTI Vision Benchmark Suite
The KITTI Vision Benchmark Suite is a dataset used for object detection and tracking in autonomous vehicles. -
Marine Debris Dataset for Object Detection in Planetscope Imagery
Marine Debris Dataset for Object Detection in Planetscope Imagery -
Custom Dataset for Driver Phone Usage Violations
Custom dataset used to train and evaluate object detection models for detecting driver phone usage violations. -
PASCAL VOC2012
Scene segmentation in images is a fundamental yet challenging problem in visual content understanding, which is to learn a model to assign every image pixel to a categorical label. -
PASCAL VOC2007
The PASCAL VOC2007 dataset is a benchmark for object detection and image classification.
