Add dataset card

README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - image-classification
+language:
+  - en
+tags:
+  - waste
+  - recycling
+  - trash
+  - garbage
+  - environment
+pretty_name: Trash Optimizer Dataset
+size_categories:
+  - 1K<n<10K
+---
+
+# Trash Optimizer Dataset
+
+Assembled waste classification dataset covering **18 categories**, used to train the
+[cpoisson/trash-optimizer-models](https://huggingface.co/cpoisson/trash-optimizer-models) series.
+
+Built with a custom pipeline that normalises, filters and balances images from three sources:
+
+| Source | Categories contributed | License |
+|---|---|---|
+| [RealWaste](https://archive.ics.uci.edu/dataset/908/realwaste) (UCI / Kaggle) | cardboard, food_organics, glass, metal, miscellaneous_trash, paper, plastic, textile_trash, vegetation | CC BY 4.0 |
+| [RHWC](https://www.kaggle.com/datasets/alistairking/recyclable-and-household-waste-classification) (Kaggle) | cardboard, food_organics, glass, metal, paper, plastic, textile_trash | CC BY-SA 4.0 |
+| Custom (web-scraped) | battery, car_battery, light_bulb, mirror, neon, pharmacy, printer_cartridge, tire, wood | ⚠️ Mixed — images sourced from the public web, licenses vary |
+
+> **Note**: The custom category images were collected from publicly accessible web sources.
+> Their individual licenses may vary. Use for research and non-commercial purposes.
+
+## Structure
+
+```
+dataset/
+  battery/          277 images
+  car_battery/      260 images
+  cardboard/        500 images
+  food_organics/    500 images
+  glass/            500 images
+  light_bulb/       157 images
+  metal/            500 images
+  mirror/           194 images
+  miscellaneous_trash/ 500 images
+  neon/             190 images
+  paper/            500 images
+  pharmacy/         257 images
+  plastic/          500 images
+  printer_cartridge/ 357 images
+  textile_trash/    500 images
+  tire/             353 images
+  vegetation/       436 images
+  wood/             245 images
+```
+
+**Total: 6,229 images across 18 categories**
+
+Images are JPEG/PNG, minimum size 150×150px, maximum 500 images per category.
+Filename prefix indicates source: `realwaste_*`, `rhwc_*`, `customdataset_*`.
+
+## Dataset builder
+
+The assembly pipeline is available in the
+[trash-optimizer](https://github.com/cpoisson/trash-optimizer) repository
+under `dataset/datasetbuilder.py`, configured via `trash-optimizer-datasetbuilder.toml`.
+
+## Model trained on this dataset
+
+→ [cpoisson/trash-optimizer-models](https://huggingface.co/cpoisson/trash-optimizer-models)
+— EfficientNet-B0, 95.07% test accuracy across 18 categories.
+
+## Citation
+
+If you use the RealWaste portion, please cite:
+```bibtex
+@misc{realwaste,
+  author    = {Majchrowska, Sylwia and others},
+  title     = {RealWaste},
+  year      = {2023},
+  publisher = {UCI Machine Learning Repository},
+  doi       = {10.24432/C5SS4S}
+}
+```