| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-to-image |
| - image-feature-extraction |
| tags: |
| - mars |
| - crater |
| - retrieval |
| - remote-sensing |
| - planetary-science |
| - vision-transformer |
| pretty_name: CraterBench-R |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # CraterBench-R |
|
|
| CraterBench-R is an instance-level crater retrieval benchmark built from Mars CTX imagery. |
|
|
| This repository contains the released benchmark images, official split files, relevance metadata, and a minimal evaluation example. |
|
|
| ## Summary |
|
|
| - `25,000` crater identities in the benchmark gallery |
| - `50,000` gallery images with two canonical context crops per crater |
| - `1,000` held-out query crater identities |
| - `5,000` manually verified query images with five views per query crater |
| - official `train` and `test` split manifests with relative paths only |
|
|
| ## Download |
|
|
| ```bash |
| # Download the repository |
| pip install huggingface_hub |
| huggingface-cli download jfang/CraterBench-R --repo-type dataset --local-dir CraterBench-R |
| cd CraterBench-R |
| |
| # Extract images |
| unzip images.zip |
| ``` |
|
|
| After extraction the directory should contain `images/gallery/` (50,000 JPEGs) and `images/query/` (5,000 JPEGs). |
|
|
| ## Repository Layout |
|
|
| - `images.zip`: all benchmark images (gallery + query) in a single archive |
| - `splits/test.json`: official benchmark split with full gallery plus query set |
| - `splits/train.json`: train gallery with the full test relevance closure removed |
| - `metadata/query_relevance.json`: raw co-visible crater IDs and gallery-filtered relevance |
| - `metadata/stats.json`: release summary statistics |
| - `metadata/source/retrieval_ground_truth_raw.csv`: raw query relevance CSV for reference |
| - `examples/eval_timm_global.py`: minimal global-descriptor example for any `timm` image model |
| - `requirements.txt`: lightweight requirements for the example script |
|
|
| ## Split Semantics |
|
|
| `splits/test.json` is the official benchmark split and includes both: |
|
|
| - the full gallery |
| - the query set evaluated against that gallery |
|
|
| The `ground_truth` field maps each query crater ID to gallery-present relevant crater IDs. |
|
|
| The raw query co-visibility information is preserved separately in `metadata/query_relevance.json`: |
|
|
| - `co_visible_ids_all`: all raw co-visible crater IDs from the source annotation |
| - `relevant_gallery_ids`: the subset that is present in the released gallery |
|
|
| `splits/train.json` is intended for supervised or metric-learning experiments. It excludes the full test relevance closure, not just the 1,000 direct query crater IDs. |
|
|
| ## Official Counts |
|
|
| - test gallery: `25,000` crater IDs / `50,000` images |
| - test queries: `1,000` crater IDs / `5,000` images |
| - train gallery: `23,941` crater IDs / `47,882` images |
| - raw multi-ID query crater IDs: `428` |
| - gallery-present multi-ID query crater IDs: `59` |
|
|
| ## Quick Start |
|
|
| ```bash |
| pip install -r requirements.txt |
| unzip images.zip # if not already extracted |
| |
| python examples/eval_timm_global.py \ |
| --data-root . \ |
| --split test \ |
| --model vit_small_patch16_224.dino \ |
| --pool cls \ |
| --batch-size 64 \ |
| --device cuda |
| ``` |
|
|
| The example script: |
|
|
| - loads `splits/test.json` |
| - creates a pretrained `timm` model |
| - extracts one feature vector per image |
| - performs cosine retrieval against the released gallery |
| - reports Recall@1/5/10, mAP, and MRR |
|
|
| It is intentionally simple and meant as a working baseline rather than the fastest possible evaluator. |
|
|
| ## Manifest Format |
|
|
| Each split JSON has the form: |
|
|
| ```json |
| { |
| "split_name": "train or test", |
| "version": "release_v1", |
| "gallery_images": [ |
| { |
| "image_id": "02-1-002611_2x", |
| "path": "images/gallery/02-1-002611_2x.jpg", |
| "crater_id": "02-1-002611", |
| "view_type": "2x" |
| } |
| ], |
| "query_images": [ |
| { |
| "image_id": "02-1-002927_view_1", |
| "query_id": "02-1-002927", |
| "path": "images/query/02-1-002927_view_1.jpg", |
| "crater_id": "02-1-002927", |
| "view": 1, |
| "manual_verified": true |
| } |
| ], |
| "ground_truth": { |
| "02-1-002927": ["02-1-002927"] |
| } |
| } |
| ``` |
|
|
| ## Validation |
|
|
| The repository includes one small validation utility: |
|
|
| - `scripts/validate_release.py`: checks split consistency, relative paths, and train/test separation |
|
|
| To validate the package locally: |
|
|
| ```bash |
| python scripts/validate_release.py |
| ``` |
|
|
| ## Notes |
|
|
| - Image paths in manifests are relative and portable. |
| - `splits/test.json` is the official benchmark entrypoint. |
| - `splits/train.json` is intended for training or fine-tuning experiments. |
|
|
