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README.md

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+---
+license: other
+task_categories:
+- image-classification
+- image-feature-extraction
+language:
+- en
+tags:
+- stanford-cars
+- fine-grained
+- cars
+- lance
+- clip-embeddings
+pretty_name: stanford-cars-lance
+size_categories:
+- 1K<n<10K
+---
+# Stanford Cars (Lance Format)
+
+Lance-formatted version of the [Stanford Cars dataset](https://web.archive.org/web/20210212183835/http://ai.stanford.edu/~jkrause/cars/car_dataset.html) — 8,144 training images across 196 fine-grained car make/model/year classes — sourced from [`Multimodal-Fatima/StanfordCars_train`](https://huggingface.co/datasets/Multimodal-Fatima/StanfordCars_train).
+
+## Schema
+
+| Column | Type | Notes |
+|---|---|---|
+| `id` | `int64` | Row index |
+| `image` | `large_binary` | Inline JPEG bytes |
+| `label` | `int32` | Class id (0-195) |
+| `blip_caption` | `string?` | BLIP-generated caption (beam=5) carried through from the source mirror |
+| `image_emb` | `fixed_size_list<float32, 512>` | OpenCLIP `ViT-B-32` embedding (cosine-normalized) |
+
+## Pre-built indices
+
+- `IVF_PQ` on `image_emb` — `metric=cosine`
+- `INVERTED` (FTS) on `blip_caption`
+- `BTREE` on `label`
+
+## Quick start
+
+```python
+import lance
+ds = lance.dataset("hf://datasets/lance-format/stanford-cars-lance/data/train.lance")
+print(ds.count_rows(), ds.schema.names, ds.list_indices())
+```
+
+## Caption-based filtering
+
+```python
+import lance
+ds = lance.dataset("hf://datasets/lance-format/stanford-cars-lance/data/train.lance")
+hits = ds.scanner(full_text_query="red sports car", columns=["id", "blip_caption"], limit=10).to_table()
+```
+
+## Visual similarity search
+
+```python
+import lance, pyarrow as pa
+ds = lance.dataset("hf://datasets/lance-format/stanford-cars-lance/data/train.lance")
+emb_field = ds.schema.field("image_emb")
+ref = ds.take([0], columns=["image_emb", "blip_caption"]).to_pylist()[0]
+neighbors = ds.scanner(
+    nearest={"column": "image_emb", "q": pa.array([ref["image_emb"]], type=emb_field.type)[0], "k": 5},
+    columns=["id", "blip_caption"],
+).to_table().to_pylist()
+```
+
+## Source & license
+
+Converted from [`Multimodal-Fatima/StanfordCars_train`](https://huggingface.co/datasets/Multimodal-Fatima/StanfordCars_train), itself a parquet redistribution of the Stanford Cars test split. The original dataset license is for non-commercial research use; review the [Stanford Cars terms](https://github.com/jhoffman/stanford-cars) before redistribution.
+
+## Citation
+
+```
+@inproceedings{krause2013collecting,
+  title={Collecting a large-scale dataset of fine-grained cars},
+  author={Krause, Jonathan and Stark, Michael and Deng, Jia and Fei-Fei, Li},
+  booktitle={Workshop on Fine-Grained Visual Categorization (CVPR)},
+  year={2013}
+}
+```

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