ML Peach RGB-D Dataset

Multi-label peach RGB-D dataset

(Including RGB images, depth images, infrared images)

Authors: Rao Yuan / Luo Qing / Huo Peilin / Li Yipu / Jensen ZHANG

The ML Peach RGB-D Dataset is composed by 2050 multi-modal images of peach on tree filelds captured using Microsoft Azure Kinect DK. Each images contains 3 different modalities, including RGB images, Depth images and Infrared images.

All images were aligned with the RGB image and manually labelled in 4 classes: unobstructed, obscured by foliage, obscured by branches and obscured by fruit.

Find annotations in “.txt” format inside “annotation_yolo” folder. The camera parameters for each image taken are saved in “.txt” format inside “calib” folder.

Get more details from here.

README

ML_Peach_RGB-D_Dataset_README.pdf

Demo

ML Peach RGB-D Demo Dataset.7z (226.7 MB)

Full Dataset

ML Peach RGB-D Dataset.7z (4.51 GB)

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