Infraspecific Plant Vision Benchmarking Dataset: Banana, Grapevine, and Market Garden Crops

LICENSE NOTICE: This repository contains images under various licenses (CC-BY-SA, CC-BY, and All Rights Reserved / Research Use Only). The Zenodo metadata license does NOT override individual image rights. Users MUST refer to the license column in the provided train_val.csv and test.csv files to determine the exact allowed use for each specific image. # Infraspecific Plant Vision Benchmarking Dataset ## DescriptionThis Zenodo repository provides three image datasets (Banana, Grapevine, Market Garden) designed for the evaluation of computer vision models on the infraspecific identification (varieties and cultivars) of plants. ## Archive OrganizationThe repository contains three uncompressed `.tar` archives, corresponding to each evaluated crop: 1. `banana_dataset.tar`: Varieties and wild species of the Ensete, Musa and Musella genera.2. `grape_variety_dataset.tar`: Grapevine varieties (Vitis vinifera L.).3. `plant_market_garden_dataset.tar`: Market garden crop varieties (aubergines, courgettes, tomatoes). Each extracted archive follows an identical internal structure: * `train/` directory containing subdirectories for each class with their respective training images.* `test/` directory containing flat test images (for blind evaluation protocols).* `train_val.csv`: Metadata for the training set.* `test.csv`: Metadata for the test set.* `class_mapping.txt`: List of classes in the dataset. ## File NomenclatureAll images have been standardized (`.jpg` format) and renamed according to the following convention:`[dataset_name]_[class_name]_[global_index].jpg` Example: `market_cucurbita_pepo_ronde_de_nice_00150.jpg` ## Metadata Structure (CSV Files)The `train_val.csv` and `test.csv` files provide the annotations and traceability for each image. They share the following column structure: * **image_name**: Standardized image file name.* **observation_id**: Unique identifier of the physical observation (iNaturalist number for bananas, incremental identifier for grapevine and market garden crops).* **class_name**: Standardized name of the class (variety or taxon).* **organ**: Photographed plant organ (e.g., leaf, fruit, habit, flower).* **split**: Dataset assignment (`train` or `test`).* **author**: Credited author or institution for the photograph.* **license**: Distribution license applicable to the image.* **source_url**: Link to the source data or institutional portal.* **date**: Date the photograph was taken in ISO 8601 format (YYYY-MM-DD).* **latitude / longitude**: GPS coordinates (if available). ## Sources and LicensesDue to the compilation of data from various sources, usage rights vary depending on the datasets and individual images. The `license` column in the CSV file is authoritative for each image. ### 1. Banana Dataset* **Crowdsourced data (iNaturalist)**: Variable Creative Commons licenses (CC-BY, CC-BY-NC, etc.) depending on the original authors' choices.* **Expert data (CIRAD)**: Property of the expert collection, use restricted to scientific research (All Rights Reserved - Research Use Only). ### 2. Grape Variety Dataset* **Train split**: Images produced as part of experimental campaigns by Pl@ntNet consortium (Inria, CIRAD, IRD, INRAE, CNRS, Univ. Montpellier). Distributed under the CC-BY-SA license.* **Test split (PlantGrape)**: Images from the institutional portal of IFV, INRAE, and L'Institut Agro. Use restricted to scientific research (All Rights Reserved - Research Use Only). ### 3. Plant Market Garden Dataset* **Entire dataset**: Images produced as part of experimental campaigns by Pl@ntNet consortium (Inria, CIRAD, IRD, INRAE, CNRS, Univ. Montpellier). Distributed under the CC-BY-SA license.