Add dataset card + metadata for TACO

README.md

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+---
+license: cc-by-4.0
+pretty_name: "TACO"
+task_categories:
+  - object-detection
+  - image-segmentation
+tags:
+  - computer-vision
+  - pictograph
+annotations_creators:
+  - expert-generated
+size_categories:
+  - 1K<n<10K
+source_datasets:
+  - extended
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: "train/*"
+---
+
+# TACO
+
+> 1,500 images and 4,784 annotations across 60 classes, annotated as bounding box and polygon.
+
+**[View on Pictograph](https://pictograph.io/datasets/pictograph-research/taco)** · Pictograph Research · [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/)
+
+## About
+
+**TACO** is a computer-vision dataset curated and annotated on [Pictograph](https://pictograph.io/datasets/pictograph-research/taco). On Pictograph you can browse every annotated image, fork it into your own workspace in one click, export it in a dozen formats, or train a model on it directly: [open the dataset](https://pictograph.io/datasets/pictograph-research/taco).
+
+## At a glance
+
+| Metric | Value |
+| :--- | ---: |
+| Images | 1,500 |
+| Annotations | 4,784 |
+| Classes | 60 |
+| Annotation types | bounding box, polygon |
+| Splits | train |
+
+## Dataset structure
+
+This dataset uses the Hugging Face `imagefolder` layout: each split directory holds the images plus a `metadata.jsonl` that links every image to its annotations by `file_name`.
+
+| Field | Description |
+| :--- | :--- |
+| `file_name` | Path to the image within the split directory. |
+| `objects.bbox` | Bounding boxes as `[x, y, width, height]` (pixels). |
+| `objects.categories` | Integer class index per box (matches the class list below). |
+| `objects.category_names` | Human class name per box. |
+| `segmentation` | Polygon rings as `[[x, y], ...]` with class label. |
+
+## Use it
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("pictograph/taco")
+print(ds)
+```
+
+Prefer a full annotation editor, one-click fork, multi-format export, and one-click training? [Open this dataset on Pictograph](https://pictograph.io/datasets/pictograph-research/taco).
+
+## Classes
+
+Class index matches `objects.categories` in `metadata.jsonl`.
+
+| # | Class | Annotations |
+| ---: | :--- | ---: |
+| 0 | Aerosol | 10 |
+| 1 | Aluminium blister pack | 6 |
+| 2 | Aluminium foil | 62 |
+| 3 | Battery | 2 |
+| 4 | Broken glass | 138 |
+| 5 | Carded blister pack | 1 |
+| 6 | Cigarette | 667 |
+| 7 | Clear plastic bottle | 285 |
+| 8 | Corrugated carton | 64 |
+| 9 | Crisp packet | 39 |
+| 10 | Disposable food container | 38 |
+| 11 | Disposable plastic cup | 104 |
+| 12 | Drink can | 229 |
+| 13 | Drink carton | 45 |
+| 14 | Egg carton | 11 |
+| 15 | Foam cup | 13 |
+| 16 | Foam food container | 15 |
+| 17 | Food Can | 34 |
+| 18 | Food waste | 8 |
+| 19 | Garbage bag | 31 |
+| 20 | Glass bottle | 104 |
+| 21 | Glass cup | 6 |
+| 22 | Glass jar | 6 |
+| 23 | Magazine paper | 12 |
+| 24 | Meal carton | 30 |
+| 25 | Metal bottle cap | 80 |
+| 26 | Metal lid | 10 |
+| 27 | Normal paper | 82 |
+| 28 | Other carton | 93 |
+| 29 | Other plastic | 273 |
+| 30 | Other plastic bottle | 50 |
+| 31 | Other plastic container | 6 |
+| 32 | Other plastic cup | 2 |
+| 33 | Other plastic wrapper | 260 |
+| 34 | Paper bag | 27 |
+| 35 | Paper cup | 67 |
+| 36 | Paper straw | 4 |
+| 37 | Pizza box | 3 |
+| 38 | Plastic bottle cap | 209 |
+| 39 | Plastic film | 451 |
+
+Showing the first 40 of 60 classes (by class index).
+
+## License
+
+Released under [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/). When you use this data, please credit **Pedro F. Proenca and Pedro Simoes (2020)**.
+
+## Source and attribution
+
+This dataset is derived from [TACO (Trash Annotations in Context)](http://tacodataset.org), created by Pedro F. Proenca and Pedro Simoes (2020), originally licensed Creative Commons Attribution 4.0. We are grateful to the original authors. If you use this data, please cite the original source above.
+
+---
+
+*Published from [Pictograph](https://pictograph.io/datasets/pictograph-research/taco) - annotate, train, and deploy from one API.*
+