Datasets

A Comprehensive Guide to the COCO Dataset

A Comprehensive Guide to the ImageNet Dataset Introduction ImageNet is a large-scale, diverse database of annotated images designed to aid in visual object recognition software research. This dataset has been instrumental in advancing the field of computer vision and deep learning.

⇐ Datasets Introduction Data Format Downloading the Dataset Using the KITTI Dataset in Python Prerequisites Install the Required Libraries Load the Dataset Understanding Calibration and Timestamp Data in 3D Vision Applications Intrinsic Matrix Extrinsic Matrix Calibration Data (calib.

Dataset OxIOD Dataset How to use OxIOD Dataset 24 Handheld Sequences 11 Pocket Sequences 8 Handbag Sequences 13 Trolley Sequences 8 Slow Walking Sequences 7 Running Sequences 26 Multi Devices Sequences 35 Multi Users Sequences 26 Large Scale Sequences Use OxIOD Dataset in Python References OxIOD Dataset Oxford Inertial Odometry Dataset [1] is a large set of inertial data for inertial odometry which is recorded by smartphones at 100 Hz in indoor environment.

Dataset Introduction RoNIN How to use RoNIN dataset HDF5 data format Use RoNIN Dataset in Python References Introduction RoNIN The RoNIN dataset [1] contains over 40 hours of IMU sensor data from 100 human subjects with 3D ground-truth trajectories under natural human movements.

Introduction RepoIMU T-stick RepoIMU T-pendulum Sassari OxIOD MAV Dataset EuRoC MAV TUM-VI KITTI RIDI RoNIN BROAD References Introduction IMU Datasets are used to evaluate the performance of the attitude estimation algorithms.