DATASET_MANIFEST.csv

PGP v2 Dataset - Download Manifest,,,,,,,
Companion dataset for: A Data-Driven Image Extraction and Analysis Pipeline for Plant Phenotyping in Controlled Environments,,,,,,,
Generated for public release / journal review,,,,,,,
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=== SECTION 1: WHICH FILE(S) DO I NEED? ===,,,,,,,
"Most users only need the 'core' bundle for their crop(s) of interest. The 'raw_multispectral' bundle is optional - only needed if you require the original 4-band 16-bit TIFF frames instead of the processed pseudo-RGB composites.",,,,,,,
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=== SECTION 2: FILE MANIFEST ===,,,,,,,
File Name,Bundle Type,Crop,Contents,Item Count,Size (GB),Status,Required or Optional
rice_core.zip,core,rice,pseudo-RGB images + segmentation masks (semantic+instance) + COCO annotations,2791,0.28,final,Recommended - most users need this
sorghum_core.zip,core,sorghum,pseudo-RGB images + segmentation masks (semantic+instance) + COCO annotations,17609,3.85,final,Recommended - most users need this
maize_core.zip,core,maize,pseudo-RGB images + segmentation masks (semantic+instance) + COCO annotations,19864,5.11,final,Recommended - most users need this
cotton_core.zip,core,cotton,pseudo-RGB images + segmentation masks (semantic+instance) + COCO annotations,71648,10.08,final,Recommended - most users need this
rice_multispectral.zip,raw_multispectral,rice,Raw 4-band 16-bit multispectral TIFF frames,1376,1.31,final,Optional - only if you need raw spectral bands
sorghum_multispectral.zip,raw_multispectral,sorghum,Raw 4-band 16-bit multispectral TIFF frames,10607,10.40,final,Optional - only if you need raw spectral bands
maize_multispectral.zip,raw_multispectral,maize,Raw 4-band 16-bit multispectral TIFF frames,14448,16.22,final,Optional - only if you need raw spectral bands
cotton_multispectral.zip,raw_multispectral,cotton,Raw 4-band 16-bit multispectral TIFF frames,27660,31.62,final,Optional - only if you need raw spectral bands
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TOTALS,,,,,,,
core bundles (4 files),,,,,19.29 GB,final,
raw_multispectral bundles (4 files),,,,,59.55 GB,final,
GRAND TOTAL (8 files),,,,,78.83 GB,final,
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"All sizes above are final, exact, and confirmed - every zip finished building successfully with zero errors.",,,,,,,
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=== SECTION 3: WHAT'S INSIDE A core.zip (per crop) ===,,,,,,,
Folder,File Type,Description,,,,,
color-image/,.png,Pseudo-RGB composite images (8-bit),,,,,
annotation_masks/semantic/,.png,CVAT semantic segmentation masks (SegmentationClass export),,,,,
annotation_masks/instance/,.png,CVAT instance segmentation masks (SegmentationObject export),,,,,
annotations_coco/,.zip,COCO-format instance annotation JSON (complete annotation set per imaging batch),,,,,
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=== SECTION 4: FILENAME CONVENTION ===,,,,,,,
Crop,Data Type,Filename Pattern,Example,Field Definitions
cotton / maize,color-image / multispectral,crop-date-rowN-cameraN-frameN.ext,cotton-2024-06-24-row1-camera2-frame21.png,"date=imaging session (YYYY-MM-DD); row=bench row number; camera=1(MASTER)/2(SLAVE) sensor; frame=sequence index within that row/camera pass"
sorghum,color-image / multispectral,crop-date-plantN-frameN.ext,sorghum-2024-12-04-plant10-frame1.png,"date=imaging session; plant=plant ID; frame=Z-stack position index (base to canopy apex)"
rice,color-image,crop-date-plantN-frameN.ext,rice-2024-05-29-plant1-frame1.png,"date=imaging session; plant=plant ID; frame=sequence index"
rice,multispectral,crop-date-cameraN-plantN-frameN.ext,rice-2024-05-29-camera1-plant1-frame1.tif,"NOTE: rice raw multispectral frame numbering is independent from the pseudo-RGB frame numbering above - they do not correspond 1:1 by frame number, only by date/plant"
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=== SECTION 5: DATASET SUMMARY (matches paper Table 1) ===,,,,,,,
Crop,Total Images,Imaging Sessions,Date Range,Unique Plants,Segmentation Mask Coverage,,
Maize,14448,40,Dec 2023 - Jul 2024,271,"2706 / 14448 (~19%) - partial evaluation subset",,
Cotton,27660,66,Apr 2024 - Jul 2024,12,"21990 / 27660 (~79%) - one batch (row 2-1 5664 images) has NO annotations",,
Sorghum,10608,17,Dec 2024 - May 2025,48,"3500 / 10608 (~33%) - partial evaluation subset",,
Rice,688,8,May 2024 - Aug 2024,8,"1051 masks present, uses different filename convention than color-image (see Section 4)",,
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=== SECTION 6: KNOWN DATA GAPS ===,,,,,,,
"Cotton batch 'row 2-1' (5664 images) has zero segmentation annotations anywhere - confirmed empty in its own COCO JSON export. This is a genuine annotation gap, not a packaging error.",,,,,,,
"Maize batches row1-1/row1-2 (11741 images) have complete COCO JSON annotations but were not exported to PNG mask format (only batches row2 and row3 have PNG masks).",,,,,,,
"Sorghum and Maize PNG mask coverage is a curated evaluation subset (used for the paper's segmentation benchmarking), not full-dataset coverage.",,,,,,,
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=== SECTION 7: CITATION ===,,,,,,,
"If you use this dataset, please cite: Orvati Nia, F., Peeples, J., et al. A Data-Driven Image Extraction and Analysis Pipeline for Plant Phenotyping in Controlled Environments.",,,,,,,
"Pipeline code: https://github.com/Advanced-Vision-and-Learning-Lab/Plant_Analysis_Tool_Pipeline",,,,,,,
"Project website: https://advanced-vision-and-learning-lab.github.io/PGP_Website/",,,,,,,