Upload folder using huggingface_hub

README.md

@@ -0,0 +1,57 @@
+---
+license: cc-by-sa-4.0
+task_categories:
+  - image-retrieval
+tags:
+  - visual-place-recognition
+  - robotics
+  - season-change
+  - place-recognition
+size_categories:
+  - 10K<n<100K
+---
+
+# Freiburg Seasons Dataset
+
+Images captured on the University of Freiburg campus across multiple seasons,
+intended for benchmarking season-invariant visual place recognition (VPR).
+
+## Traversals
+
+| Folder | Season | Images |
+|---|---|---|
+| `summer_icra_dataset/` | Summer 2012 | 6 915 |
+| `summer2015_icra_dataset/` | Summer 2015 | 5 392 |
+| `winter_icra_dataset/` | Winter | 30 790 |
+
+## Ground-truth matchings
+
+Located in `matchings/`:
+
+| File | Query traversal | Reference traversal | Pairs |
+|---|---|---|---|
+| `summer2012_winter_matchings.parquet` | summer2012 | winter | 4 037 |
+| `summer2015_winter_matchings.parquet` | summer2015 | winter | 4 739 |
+
+Each Parquet file has two integer columns — `<season>_idx` and `winter_idx` — which are
+zero-based indices into the corresponding image folder sorted lexicographically by filename.
+
+## Loading example
+
+```python
+import pandas as pd
+from PIL import Image
+import os
+
+df = pd.read_parquet("matchings/summer2015_winter_matchings.parquet")
+
+summer_imgs = sorted(os.listdir("summer2015_icra_dataset/"))
+winter_imgs  = sorted(os.listdir("winter_icra_dataset/"))
+
+query = Image.open(f"summer2015_icra_dataset/{summer_imgs[df.iloc[0]['summer2015_idx']]}")
+match = Image.open(f"winter_icra_dataset/{winter_imgs[df.iloc[0]['winter_idx']]}")
+```
+
+## License
+
+[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)

matchings/summer2012_winter_matchings.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:18b1f3fef5d8b454d96e89719c2a1efe39e7ba566a635ad17923edd7d76c6bd7
+size 38265

matchings/summer2015_winter_matchings.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42758ed85fa702bedad0e99a20f1e9eea17a898877d089f4d9667be0a1e91b8d
+size 46431