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Data Extent

Data from: Multi-species fruit flower detection using a refined semantic segmentation network

Image of apple tree in bloom.

This dataset consists of four sets of flower images, from three different species: apple, peach, and pear, and accompanying ground truth images. The images were acquired under a range of imaging conditions. These datasets support work in an accompanying paper that demonstrates a flower identification algorithm that is robust to uncontrolled environments and applicable to different flower species. While this data is primarily provided to support that paper, other researchers interested in flower detection may also use the dataset to develop new algorithms. Flower detection is a problem of interest in orchard crops because it is related to management of fruit load.

Funding provided through ARS Integrated Orchard Management and Automation for Deciduous Tree Fruit Crops.

Dataset Info

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
Dias, Philipe A.
Tabb, Amy
Medeiros, Henry
Product Type
Photograph collection
Spatial / Geographical Coverage Area
POINT (-77.87 39.35)
Temporal Coverage
Intended Use
The primary intended use of the dataset is as supplementary material for the accompanying paper. However, the data can also be used to develop new algorithms for flower or general object detection.
Ag Data Commons
Contact Name
Tabb, Amy
Contact Email
Public Access Level
Primary Article

Dias, P. A., Tabb, A., & Medeiros, H. (2018). Multispecies fruit flower detection using a refined semantic segmentation network. IEEE Robotics and Automation Letters, 3(4), 3003-3010.

Related Article
Funding Source(s)
Agricultural Research Service
Dataset DOI (digital object identifier)
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:18 - Agricultural Research Service
Modified Date
Release Date
Ag Data Commons Keywords: 
  • Maps & Multimedia
  • Maps & Multimedia
  • Images (non-GIS)
  • Maps & Multimedia
  • Images (non-GIS)
  • Organisms
  • Plants & Crops
  • Plants & Crops
  • Traits
ISO Topic(s):