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README.md

@@ -1,29 +1,29 @@
----
-license: mit
-dataset_info:
-  features:
-  - name: pixel_values
-    dtype: image
-  - name: label
-    dtype: image
-  - name: image_id
-    dtype: int64
-  - name: file_name
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1930201
-    num_examples: 28
-  - name: validation
-    num_bytes: 481136
-    num_examples: 7
-  download_size: 2419439
-  dataset_size: 2411337
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
----
+---
+pretty_name: "COCO → SegFormer Semantic Segmentation"
+task_categories:
+- image-segmentation
+task_ids:
+- semantic-segmentation
+tags:
+- segformer
+- transformers
+- datasets
+- coco
+private: true
+---
+
+# COCO → SegFormer-ready Dataset
+
+This dataset was generated from COCO-style annotations and includes:
+- **image**: RGB image
+- **label**: single-channel PNG mask with class ids (255 = ignore index)
+
+## Labels
+- `0`: Hair
+- `1`: Hair
+
+## Notes
+- Built for fine-tuning [SegFormer](https://huggingface.co/docs/transformers/en/model_doc/segformer).
+- See blog post: *Fine-Tune a Semantic Segmentation Model with a Custom Dataset*.
+
+**Summary**: COCO → semantic masks for SegFormer (image+label)