{"url":"/dataset/rawripe-dataset","name":"RawRipe Dataset","full_name":"Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives, IECON'21","description_markdown":"The dataset comprises of images of 10 types of fruits in both raw and ripe states. \r\n\r\nThe fruit-types include: apple, banana, coconut, gauva, litchi, mango, orange, papaya, pomegranate and strawberry. \r\n\r\nThe dataset can be used two solve three types classification problem:\r\n\r\n1) raw vs ripe for a specific fruit (agricultural perspective)\r\n\r\n2) raw vs ripe for any fruit (market perspective)\r\n\r\n3) multi-class/label classification (automation perspective) \r\n\r\nFor more details, refer to the following paper:\r\n\r\nFruit Maturity Recognition from Agricultural, Market and Automation Perspectives, IECON'21 \r\n\r\nPaper link: https://ieeexplore.ieee.org/document/9589215 \r\n\r\nPlease cite the paper if you use the dataset in your projects/papers.\r\n\r\n@INPROCEEDINGS{9589215,\r\n\r\n  author={Rao Jerripothula, Koteswar and Kumar Shukla, Sarvesh and Jain, Samyak and Singh, Shudhanshu},\r\n\r\n  booktitle={IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society},\r\n\r\n  title={Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives},\r\n\r\n  year={2021},\r\n\r\n  pages={1-6},\r\n\r\n  doi={10.1109/IECON48115.2021.9589215}\r\n\r\n}","description_withheld":null,"homepage":"https://sites.google.com/site/koteswarraojerripothula/research-group/fruit-maturity-recognition","introduced_date":"2021-10-13","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Raw vs Ripe (Generic)","url":"/task/raw-vs-ripe-generic","datasets_with_task":"/datasets/task/raw-vs-ripe-generic"},{"name":"Fruit-type + Maturity-state Prediction (Multi-label Classification)","url":"/task/fruit-type-maturity-state-prediction-multi-1","datasets_with_task":"/datasets/task/fruit-type-maturity-state-prediction-multi-1"}],"languages":[],"variants":["RawRipe Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/fruit-type-maturity-state-prediction-multi-1","task":"Fruit-type + Maturity-state Prediction (Multi-label Classification)","dataset_variant":"RawRipe Dataset","rows":1,"metrics":["Classification Accuracy"],"first_row_in_archive_order":{"model":"VGG16 + Logistic Regression","paper":"/paper/fruit-maturity-recognition-from-agricultural","metrics":{"Classification Accuracy":"0.862"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/raw-vs-ripe-generic-on-rawripe-dataset","task":"Raw vs Ripe (Generic)","dataset_variant":"RawRipe Dataset","rows":1,"metrics":["Classification Accuracy"],"first_row_in_archive_order":{"model":"VGG16 + Logistic Regression","paper":"/paper/fruit-maturity-recognition-from-agricultural","metrics":{"Classification Accuracy":"0.944"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/fruit-maturity-recognition-from-agricultural","title":"Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives","date":"2021-11-10","rows_on_this_dataset":2,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}