RPC

Potential Application: Rice density estimation

Description

The RPC dataset consists of 382 high-resolution images captured from two field sites in China. The rice image sequences were taken from Jiangxi and Guangxi with OLYMPUS E-450 and Canon EOS 1100D cameras, respectively. Each rice plant was annotated manually using dots.

Biological Information

Species: Rice

Latin name: Oryza sativa

Imaging tissue: Ear

Function Information

Computer vision tasks: Image detection

Potential application: Rice density estimation

Labeled instances: 98555

Label type: Semantic segmentation

Related traits: -

Imaging

Total number of images: 152

Image format: JPEG

Average resolution: 3820×2767

Sensors: RGB (visible light imaging)

Dataset size: 583M

Sampling geographic location: Jiangxi, China; Guangxi, China

Acquisition equipment: OLYMPUS E-450 camera (Jiangxi), Canon EOS 1100D camera (Guangxi)

Sampling platform: Ground-based field robot

Citation

Publications: High-Throughput Rice Density Estimation from Transplantation to Tillering Stages Using Deep Networks

Dataset url: https://git.io/sfc2net

Open Plant Image Archive

RPC