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.
- AppleA imageszip
147 images of an apple tree in bloom acquired with a Canon EOS 60D.
MD5:Explore Data1.32 GB - AppleA labelszip
Binary images for the Apple A set, where white represents flower pixels and...
MD5:Explore Data935.6 KB - Apple A Labeled images from training set zip
Binary images for the Apple A set, where white represents flower pixels and...
MD5:Explore Data4.76 MB - Training image names from Apple A datasettxt
This is a list of filenames used in training; see related paper for details...
MD5:Explore Data1.37 KB - Validation image names from Apple A datasettxt
This is a list of filenames used in testing; see related paper for details...
MD5:Explore Data390 bytes - AppleB imageszip
15 images of an apple tree in bloom acquired with a GoPro HERO 5.
...
MD5:Explore Data103.47 MB - AppleB labelszip
Binary images for the Apple B set, where white represents flower pixels and...
MD5:Explore Data365.93 KB - Peachzip
20 images of an peach tree in bloom acquired with a GoPro HERO 5.
...
MD5:Explore Data137.27 MB - Peach labelszip
Binary images for the Peach set, where white represents flower pixels and...
MD5:Explore Data251.56 KB - Pearzip
15 images of a free-standing pear tree in bloom, acquired with a GoPro HERO5...
MD5:Explore Data174.6 MB - Pear labelszip
Binary images for the pear set, where white represents flower pixels and...
MD5:Explore Data367.38 KB
Field | Value |
---|---|
Tags | |
Modified | 2019-08-05 |
Release Date | 2018-03-02 |
Identifier | e270dc1b-f9b2-4818-b8ee-7bcc7271e6ff |
Spatial / Geographical Coverage Area | POINT (-77.87 39.35) |
Publisher | Ag Data Commons |
Temporal Coverage | January 1, 2016 to December 31, 2017 |
License | |
Contact Name | Tabb, Amy |
Contact Email | |
Public Access Level | Public |
Program Code | 005:040 - Department of Agriculture - National Research |
Bureau Code | 005:18 - Agricultural Research Service |