source_licenses.json

{
  "schema_version": "0.2.0",
  "generated_for": "AgroVG public-release packaging",
  "last_checked": "2026-05-05",
  "note": "This file records source-dataset license information used by AgroVG. It is a metadata summary, not legal advice. AgroVG-specific annotations, query templates, audit metadata, split metadata, and derived benchmark metadata are released under CC BY 4.0, but source images and source-derived annotations remain governed by their original source terms.",
  "agrovg_contributions": {
    "license_name": "Creative Commons Attribution 4.0 International",
    "license_spdx": "CC-BY-4.0",
    "license_url": "https://creativecommons.org/licenses/by/4.0/",
    "redistribution_status": "allowed_with_attribution",
    "applies_to": [
      "normalized annotation schema",
      "query records",
      "audit metadata",
      "split metadata",
      "derived benchmark metadata"
    ]
  },
  "sources": [
    {
      "source_key": "phenobench",
      "display_name": "PhenoBench",
      "used_in": ["T1", "T2"],
      "num_images": 1260,
      "license_name": "Creative Commons Attribution ShareAlike 4.0 International",
      "license_spdx": "CC-BY-SA-4.0",
      "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
      "source_url": "https://www.phenobench.org",
      "metadata_url": "https://github.com/PRBonn/phenobench",
      "citation": "Weyler et al., PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain, 2024.",
      "redistribution_status": "allowed_with_attribution_and_sharealike",
      "license_notes": "The PhenoBench development kit FAQ states that the dataset is distributed under CC-BY-SA 4.0 and permits research and commercial usage with attribution and share-alike terms."
    },
    {
      "source_key": "cropandweed",
      "display_name": "CropAndWeed",
      "used_in": ["T1", "T2"],
      "num_images": 1075,
      "license_name": "Custom non-commercial license; no redistribution of dataset or modified versions",
      "license_spdx": "LicenseRef-CropAndWeed-NonCommercial-NoRedistribution",
      "license_url": "https://github.com/cropandweed/cropandweed-dataset/blob/main/LICENCE",
      "source_url": "https://github.com/cropandweed/cropandweed-dataset",
      "citation": "Steininger et al., The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation, WACV 2023.",
      "redistribution_status": "not_redistributable_without_explicit_permission",
      "license_notes": "The source license permits non-commercial use but explicitly says users must not distribute the dataset or modified versions. Do not include CropAndWeed RGB images or directly recoverable modified versions in a public Hugging Face release unless explicit permission is obtained."
    },
    {
      "source_key": "minneapple",
      "display_name": "MinneApple",
      "used_in": ["T1"],
      "num_images": 598,
      "license_name": "Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States",
      "license_spdx": "CC-BY-NC-SA-3.0-US",
      "license_url": "http://creativecommons.org/licenses/by-nc-sa/3.0/us/",
      "source_url": "https://conservancy.umn.edu/handle/11299/206575",
      "doi": "10.13020/8ecp-3r13",
      "citation": "Haeni, Roy, and Isler, MinneApple: A Benchmark Dataset for Apple Detection and Segmentation, DRUM, 2019.",
      "redistribution_status": "allowed_for_noncommercial_use_with_attribution_and_sharealike",
      "license_notes": "The DRUM record lists CC BY-NC-SA 3.0 US. Public redistribution should preserve non-commercial and share-alike terms."
    },
    {
      "source_key": "acfr",
      "display_name": "ACFR Orchard Fruit Dataset",
      "used_in": ["T1"],
      "num_images": 636,
      "license_name": "Unknown / not clearly stated on located public dataset pages",
      "license_spdx": "LicenseRef-ACFR-Unknown",
      "license_url": null,
      "source_url": "http://data.acfr.usyd.edu.au/ag/treecrops/2016-multifruit/",
      "citation": "Bargoti and Underwood, Deep Fruit Detection in Orchards, ICRA 2017.",
      "redistribution_status": "unknown_needs_permission_before_public_redistribution",
      "license_notes": "Located public index/aggregator pages report the ACFR license as unknown. Obtain explicit redistribution permission or remove ACFR RGB images before public release."
    },
    {
      "source_key": "acfr_apples",
      "display_name": "ACFR Apples",
      "used_in": ["T2"],
      "num_images": 84,
      "license_name": "Unknown / not clearly stated on located public dataset pages",
      "license_spdx": "LicenseRef-ACFR-Unknown",
      "license_url": null,
      "source_url": "http://data.acfr.usyd.edu.au/ag/treecrops/2016-multifruit/",
      "citation": "Bargoti and Underwood, Deep Fruit Detection in Orchards, ICRA 2017; Bargoti and Underwood, Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards.",
      "redistribution_status": "unknown_needs_permission_before_public_redistribution",
      "license_notes": "This AgroVG subset uses ACFR apple imagery and derived instance maps. Since the source license is not clearly stated, public redistribution should wait for permission or be replaced by reconstruction instructions."
    },
    {
      "source_key": "magefruits_blueberry",
      "display_name": "MegaFruits Blueberry",
      "used_in": ["T2"],
      "num_images": 554,
      "license_name": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International",
      "license_spdx": "CC-BY-NC-SA-4.0",
      "license_url": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
      "source_url": "https://www.kaggle.com/datasets/mmwang0/megafruits",
      "citation": "Wang et al., MegaFruits dataset, Kaggle, version 2.",
      "redistribution_status": "allowed_for_noncommercial_use_with_attribution_and_sharealike",
      "license_notes": "Kaggle metadata for MegaFruits lists CC BY-NC-SA 4.0."
    },
    {
      "source_key": "magefruits_peach",
      "display_name": "MegaFruits Peach",
      "used_in": ["T2"],
      "num_images": 585,
      "license_name": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International",
      "license_spdx": "CC-BY-NC-SA-4.0",
      "license_url": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
      "source_url": "https://www.kaggle.com/datasets/mmwang0/megafruits",
      "citation": "Wang et al., MegaFruits dataset, Kaggle, version 2.",
      "redistribution_status": "allowed_for_noncommercial_use_with_attribution_and_sharealike",
      "license_notes": "Kaggle metadata for MegaFruits lists CC BY-NC-SA 4.0."
    },
    {
      "source_key": "gwhd2021",
      "display_name": "Global Wheat Head Dataset 2021",
      "used_in": ["T1"],
      "num_images": 1091,
      "license_name": "Creative Commons Attribution 4.0 International",
      "license_spdx": "CC-BY-4.0",
      "license_url": "https://creativecommons.org/licenses/by/4.0/",
      "source_url": "https://zenodo.org/records/5092309",
      "doi": "10.5281/zenodo.5092309",
      "citation": "David et al., Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods, 2021.",
      "redistribution_status": "allowed_with_attribution",
      "license_notes": "Zenodo metadata lists license id cc-by-4.0. The Global Wheat site also describes the dataset as free to use for any purpose."
    },
    {
      "source_key": "ip102_detection",
      "display_name": "IP102 Detection",
      "used_in": ["T1"],
      "num_images": 1255,
      "license_name": "Custom academic-use license",
      "license_spdx": "LicenseRef-IP102-Academic-Only",
      "license_url": "https://github.com/xpwu95/IP102",
      "source_url": "https://github.com/xpwu95/IP102",
      "citation": "Wu et al., IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition, CVPR 2019.",
      "redistribution_status": "academic_use_only_permission_recommended_for_public_redistribution",
      "license_notes": "The source README states that the dataset is free for academic usage and asks users to contact the maintainer for other purposes. It does not clearly grant third-party redistribution rights."
    },
    {
      "source_key": "plantseg",
      "display_name": "PlantSeg",
      "used_in": ["T1", "T2"],
      "num_images": 2358,
      "license_name": "Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International",
      "license_spdx": "CC-BY-NC-ND-4.0",
      "license_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
      "source_url": "https://zenodo.org/records/13762907",
      "doi": "10.5281/zenodo.13762907",
      "citation": "Wei, PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation, Zenodo, 2024.",
      "redistribution_status": "noncommercial_original_redistribution_only_no_derivatives",
      "license_notes": "Zenodo metadata lists CC BY-NC-ND 4.0. Because the license includes NoDerivatives, redistribution of transformed/derived annotations or modified source materials needs careful review or explicit permission."
    },
    {
      "source_key": "oam_tcd",
      "display_name": "OAM-TCD",
      "used_in": ["T1"],
      "num_images": 104,
      "license_name": "Mixed Creative Commons licenses: CC BY 4.0, CC BY-NC 4.0, and CC BY-SA 4.0",
      "license_spdx": "LicenseRef-OAM-TCD-Mixed-CC",
      "license_url": "https://zenodo.org/records/11617167",
      "source_url": "https://zenodo.org/records/11617167",
      "doi": "10.5281/zenodo.11617167",
      "citation": "Veitch-Michaelis et al., OAM-TCD: A globally diverse dataset of high-resolution tree cover maps, 2024.",
      "redistribution_status": "allowed_subject_to_per_image_license",
      "license_breakdown_in_source": {
        "CC-BY-4.0": 4608,
        "CC-BY-NC-4.0": 272,
        "CC-BY-SA-4.0": 192
      },
      "license_breakdown_in_agrovg_metadata": {
        "license_id_1": 14,
        "license_id_2": 85,
        "license_id_3": 5
      },
      "license_notes": "OAM-TCD documentation states that images are split by license class. AgroVG currently preserves numeric license_id values from source metadata; verify the id-to-license mapping before public release or keep OAM-TCD records separated by license."
    },
    {
      "source_key": "dumortier",
      "display_name": "Annotated tree crown bounding boxes in urban/rural environment",
      "used_in": ["T1"],
      "num_images": 471,
      "license_name": "Creative Commons Zero v1.0 Universal",
      "license_spdx": "CC0-1.0",
      "license_url": "https://creativecommons.org/publicdomain/zero/1.0/",
      "source_url": "https://zenodo.org/records/15155081",
      "doi": "10.5281/zenodo.15155081",
      "citation": "Dumortier, Annotated tree crown bounding boxes in urban/rural environment, Zenodo, 2025.",
      "redistribution_status": "public_domain_dedication",
      "license_notes": "Zenodo API metadata lists license id cc-zero."
    }
  ],
  "release_risk_summary": {
    "low_risk_open_licenses": [
      "phenobench",
      "gwhd2021",
      "dumortier"
    ],
    "redistributable_with_noncommercial_or_sharealike_constraints": [
      "minneapple",
      "magefruits_blueberry",
      "magefruits_peach",
      "oam_tcd"
    ],
    "requires_permission_or_release_adjustment_before_public_huggingface_upload": [
      "cropandweed",
      "acfr",
      "acfr_apples",
      "ip102_detection",
      "plantseg"
    ]
  }
}