Project-AgML/FruitVision_quality_classification

1---2configs:3- config_name: augmented4  data_files:5  - split: train6    path: augmented/train-*7- config_name: raw8  data_dir: raw9  default: true10license: cc-by-nc-nd-4.011task_categories:12- image-classification13size_categories:14- 10K<n<100K15dataset_info:16- config_name: augmented17  features:18  - name: image19    dtype: image20  - name: label21    dtype:22      class_label:23        names:24          '0': Formalin-mixed25          '1': Fresh26          '2': Rotten27  - name: fruit28    dtype: string29  splits:30  - name: train31    num_bytes: 466287187232    num_examples: 7338933  download_size: 450423273434  dataset_size: 466287187235- config_name: raw36  features:37  - name: image38    dtype: image39  - name: label40    dtype:41      class_label:42        names:43          '0': Formalin-mixed44          '1': Fresh45          '2': Rotten46  - name: fruit47    dtype: string48  splits:49  - name: train50    num_bytes: 83866922451    num_examples: 1015452  download_size: 92336546153  dataset_size: 83866922454---55 56# FruitVision Quality Classification57 58A dataset for quality classification of apples, bananas, mangoes, grapes, and oranges.  The dataset contains raw and augmented versions.  59The raw dataset contains 10,154 images.  60Images per class:61- Formalin-mixed: 3,17662- Fresh: 3,80063- Rotten: 3,17864 65The augmented dataset contains 73,389 images.  66Images per class:67- Formalin-mixed: 22,22868- Fresh: 30,40069- Rotten: 20,76170 71 72This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.73 74## Citation75 76```bibtex77@article{bijoy2025fruitvision,78  title={FruitVision: A benchmark dataset for fresh, rotten, and formalin-mixed fruit detection},79  author={Bijoy, Md Hasan Imam and Tasnim, Syeda Zarin and Awsaf, Syed Ali and Hasan, Md Zahid},80  journal={Data in Brief},81  volume={61},82  pages={111752},83  year={2025},84  publisher={Elsevier}85}86```87 88Bijoy, Md Hasan Imam; Tasnim, Syeda Zarin; Awsaf, Syed Ali; Hasan, Md Zahid (2025), “FruitVision: A Benchmark Dataset for Fresh, Rotten, and Formalin-mixed Fruit Detection”, Mendeley Data, V2, doi: 10.17632/xkbjx8959c.2