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Pascal VOC 2007 and 2012
Pascal VOC 2007 and 2012 datasets for object detection -
A Parallel Implementation of Computing Mean Average Precision
Mean Average Precision (mAP) has been widely used for evaluating the quality of object detectors, but an efficient implementation is still absent. Current implemen- -
Cars dataset
The Cars dataset is a multi-object multi-camera network application. -
Tinyvideos dataset
Tinyvideos dataset -
CityPersons Dataset for Pedestrian Detection
The CityPersons dataset is a new pedestrian detection dataset, consisting of 500 images with annotated objects. -
Caltech Dataset for Pedestrian Detection
The Caltech dataset is a large-scale dataset for pedestrian detection, consisting of 4024 images with annotated objects. -
KITTI Dataset for Autonomous Driving
The KITTI dataset is a large-scale dataset for autonomous driving, consisting of 15,000 images with annotated objects. -
3D X-ray Microscopy for 3D Object Detection, Segmentation, and Metrology
3D X-ray microscope data for 3D object detection, segmentation, and metrology for buried structures in advanced IC packages -
Shapes and Shapes Rotation
The dataset used in the paper is a collection of sequences with patterns of different shapes and speeds, and a new dataset collected with the Baxter robot in a manipulation task... -
RGB-D scenes dataset
The RGB-D scenes dataset contains RGB-D images of indoor scenes with everyday-life objects. -
VisDrone2019 Dataset
The VisDrone2019 dataset contains 288 video clips made up of 261,908 frames and 10,209 images -
XIMAGENET-12
XIMAGENET-12 is an explainable visual benchmark dataset for model robustness evaluation. It consists of over 200K images with 15,410 manual semantic annotations. The dataset is... -
Object Detection dataset
A dataset used for training a convolutional neural network (CNN) for object detection. -
Visual-Inertial Odometry (VIO) dataset
A dataset used for training a recurrent neural network (RNN) to infer positional uncertainties for a model predictive control (MPC) algorithm. -
Depth Estimation and Object Detection
The dataset used for depth estimation and object detection. -
AI-TOD remote sensing dataset
The AI-TOD remote sensing dataset is used for detecting dense small objects in aerial images. -
ACE: ally complementary experts for solving long-tailed recognition in one-shot
The ACE dataset is a large-scale dataset for image classification and object detection. -
The INAT dataset for image classification and object detection
The INAT dataset is a large-scale dataset for image classification and object detection. -
TinyPersons
The TinyPersons dataset is a small-scale dataset for object detection, consisting of images of tiny humans.