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metadata
pretty_name: AgriBerry Vision Raw Images
task_categories:
  - object-detection
  - image-segmentation
tags:
  - agriculture
  - strawberry
  - phenology
  - georeferenced-imagery
  - sprayer-mounted
size_categories:
  - 1K<n<10K

AgriBerry Vision Raw Images

This dataset contains raw georeferenced field imagery collected for:

AgriBerry Vision: A Sprayer-Mounted Georeferenced Imaging Module for Strawberry Phenology Monitoring

The dataset is paired with the processing code at:

https://github.com/Sycamorers/AgriBerry-Vision

Contents

The image archive is stored as:

abv_raw_images_data.tar.gz

Extracting the archive restores the expected pipeline input folder:

data/
  {date}/
    {box}/
      {trial}/
        *.jpg

Filename Metadata

Image filenames encode acquisition timestamp and GNSS coordinates:

2026_01_15_17-29-09-934_lat29.40424481333333_lon-82.1418702.jpg

The associated code parses latitude and longitude from the lat... and lon... filename tokens, then aggregates repeated observations by rounded GPS coordinates.

Local Summary

Date Box Trial Images Size MB
260316 box1 dc_4 763 454.427
260316 box2 dc_4 866 437.898
260316 box3 dc_4 609 533.663
260324 box1 dc_1 976 427.761
260324 box2 dc_1 721 290.386
260324 box3 dc_1 711 390.922

Total: 4,646 JPG images, approximately 2.54 GB before compression.

Intended Use

The images support strawberry phenology monitoring from a sprayer-mounted imaging module. The companion code exports QGIS-ready point layers for flower, green fruit, white fruit, pink fruit, red fruit, and canopy metrics.

Citation

If you use this dataset, cite the accompanying manuscript:

AgriBerry Vision: A Sprayer-Mounted Georeferenced Imaging Module for Strawberry Phenology Monitoring.