Create README.md

README.md

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+---
+configs:
+- config_name: raw
+  default: true
+  data_dir: raw
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Formalin-mixed
+          '1': Fresh
+          '2': Rotten
+  - name: fruit
+    dtype: string
+- config_name: augmented
+  data_dir: augmented
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Formalin-mixed
+          '1': Fresh
+          '2': Rotten
+  - name: fruit
+    dtype: string
+license: cc-by-nc-nd-4.0
+task_categories:
+- image-classification
+size_categories:
+- 10K<n<100K
+---
+
+# Fruitvision Quality Classification
+
+A dataset for image classification of Fruitvision Quality Classification.  The dataset contains raw and augmented versions.  
+The raw dataset contains 10,154 images.  
+Images per class:
+- Formalin-mixed: 3,176
+- Fresh: 3,800
+- Rotten: 3,178
+
+The augmented dataset contains 73,389 images.  
+Images per class:
+- Formalin-mixed: 22,228
+- Fresh: 30,400
+- Rotten: 20,761
+
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{bijoy2025fruitvision,
+  title={FruitVision: A benchmark dataset for fresh, rotten, and formalin-mixed fruit detection},
+  author={Bijoy, Md Hasan Imam and Tasnim, Syeda Zarin and Awsaf, Syed Ali and Hasan, Md Zahid},
+  journal={Data in Brief},
+  volume={61},
+  pages={111752},
+  year={2025},
+  publisher={Elsevier}
+}
+```
+
+Bijoy, 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