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Upload AgriBerry Vision raw image archive

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  1. README.md +75 -3
  2. abv_raw_images_data.tar.gz +3 -0
  3. data_manifest.csv +7 -0
README.md CHANGED
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ pretty_name: AgriBerry Vision Raw Images
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+ task_categories:
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+ - object-detection
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+ - image-segmentation
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+ tags:
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+ - agriculture
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+ - strawberry
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+ - phenology
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+ - georeferenced-imagery
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+ - sprayer-mounted
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # AgriBerry Vision Raw Images
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+
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+ This dataset contains raw georeferenced field imagery collected for:
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+
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+ **AgriBerry Vision: A Sprayer-Mounted Georeferenced Imaging Module for Strawberry Phenology Monitoring**
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+
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+ The dataset is paired with the processing code at:
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+
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+ https://github.com/Sycamorers/AgriBerry-Vision
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+
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+ ## Contents
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+
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+ The image archive is stored as:
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+
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+ ```text
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+ abv_raw_images_data.tar.gz
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+ ```
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+
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+ Extracting the archive restores the expected pipeline input folder:
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+
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+ ```text
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+ data/
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+ {date}/
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+ {box}/
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+ {trial}/
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+ *.jpg
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+ ```
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+
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+ ## Filename Metadata
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+
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+ Image filenames encode acquisition timestamp and GNSS coordinates:
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+
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+ ```text
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+ 2026_01_15_17-29-09-934_lat29.40424481333333_lon-82.1418702.jpg
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+ ```
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+
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+ The associated code parses latitude and longitude from the `lat...` and `lon...` filename tokens, then aggregates repeated observations by rounded GPS coordinates.
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+
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+ ## Local Summary
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+
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+ | Date | Box | Trial | Images | Size MB |
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+ | --- | --- | --- | ---: | ---: |
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+ | 260316 | box1 | dc_4 | 763 | 454.427 |
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+ | 260316 | box2 | dc_4 | 866 | 437.898 |
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+ | 260316 | box3 | dc_4 | 609 | 533.663 |
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+ | 260324 | box1 | dc_1 | 976 | 427.761 |
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+ | 260324 | box2 | dc_1 | 721 | 290.386 |
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+ | 260324 | box3 | dc_1 | 711 | 390.922 |
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+
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+ Total: 4,646 JPG images, approximately 2.54 GB before compression.
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+
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+ ## Intended Use
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+
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+ 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.
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+
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+ ## Citation
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+
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+ If you use this dataset, cite the accompanying manuscript:
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+
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+ AgriBerry Vision: A Sprayer-Mounted Georeferenced Imaging Module for Strawberry Phenology Monitoring.
abv_raw_images_data.tar.gz ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:708ce51783c48165333adb31daede6f14dabd394d60d930ed55bf65cd1f0c019
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+ size 2534136396
data_manifest.csv ADDED
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+ date,box,trial,image_count,size_mb
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+ 260316,box1,dc_4,763,454.427
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+ 260316,box2,dc_4,866,437.898
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+ 260316,box3,dc_4,609,533.663
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+ 260324,box1,dc_1,976,427.761
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+ 260324,box2,dc_1,721,290.386
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+ 260324,box3,dc_1,711,390.922