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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. -
PointPillars Dataset
The PointPillars dataset is a benchmark for object detection in 3D point clouds. -
Microsoft COCO object detection dataset
Microsoft COCO object detection dataset -
PASCAL VOC 2007 and PASCAL VOC 2012 object detection datasets
PASCAL VOC 2007 and PASCAL VOC 2012 object detection datasets -
ALFA: Agglomerative Late Fusion Algorithm for Object Detection
ALFA: Agglomerative Late Fusion Algorithm for Object Detection -
Imagenette
The Imagenette dataset used in the paper for class density and dataset quality in high-dimensional, unstructured data. -
POD: Practical Object Detection with Scale-Sensitive Network
Scale-sensitive object detection remains a challenging task, where most of the existing methods could not learn it explicitly and are not robust to scale variance. -
COCO Detection Benchmark
The dataset used in the paper is the COCO detection benchmark.
