Upload README.md

README.md

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+---
+pretty_name: KSDD2 (Kolektor Surface-Defect Dataset 2)
+license: cc-by-nc-sa-4.0
+tags:
+  - computer-vision
+  - image-classification
+  - image-segmentation
+  - anomaly-detection
+  - industrial-inspection
+task_categories:
+  - image-classification
+  - image-segmentation
+configs:
+  - config_name: classification
+    description: "Binary good/defect classification."
+  - config_name: with_mask
+    description: "Binary classification + optional defect masks if present."
+---
+
+# KSDD2 (manual-download loader)
+
+This repository provides a **manual-download** loading script for the
+**Kolektor Surface-Defect Dataset 2 (KSDD2)**.  
+It **does not** host images; users must **download the dataset from the official ViCoS page** and then load it via `load_dataset(..., data_dir=...)`.
+
+- **Official page (license & download):** https://www.vicos.si/resources/kolektorsdd2/
+- **License:** Creative Commons **BY-NC-SA 4.0** (non-commercial; attribution; share-alike).
+  For commercial use, please contact the authors as instructed on the official page.
+
+## How to use
+
+```python
+from datasets import load_dataset
+
+# After you manually download & extract KSDD2 to /data/KSDD2
+ds = load_dataset("OliverOnHF/ksdd2", name="classification", data_dir="/data/KSDD2")
+print(ds)
+print(ds["train"][0])
+```
+
+### Expected folder layout (example)
+
+```
+KSDD2/
+  train/
+    ok/*.png|jpg
+    defect/*.png|jpg
+    [masks|masks_defect|ground_truth]/*.png   # optional for with_mask
+  test/
+    ok/*.png|jpg
+    defect/*.png|jpg
+    [masks|masks_defect|ground_truth]/*.png   # optional for with_mask
+```
+
+If your local structure differs, adapt the paths accordingly.
+
+## Citation
+
+Please cite the KSDD2 paper as requested by the authors on the official page.
+
+## Acknowledgments
+
+KSDD2 is created and maintained by the ViCoS Lab / Kolektor Group. This repo only provides a loader script
+and **does not redistribute** the dataset files.