| --- |
| language: |
| - en |
| tags: |
| - probescout |
| - visual-analytics |
| - image-retrieval |
| --- |
| |
| # ProbeScout features |
|
|
| Frozen SigLIP features for Stanford Cars, HICO-DET and CelebA: |
| float32 global embeddings `[N, 768]`, float16 patch tokens `[N, 196, 768]`, |
| and records that map each row to an image ID. Total size: 81.10 GB. |
|
|
| Use the [ProbeScout setup guide](https://github.com/lyfdy456/ProbeScout/blob/codex/initial-source/docs/manual_setup.md) |
| and [dataset-specific download commands](https://github.com/lyfdy456/ProbeScout/blob/codex/initial-source/docs/asset_distribution.md). |
| Download only the dataset you need. Place its `dataset/` contents under the code |
| repository's `dataset/` directory, preserving paths and row order. |
|
|
| These features skip extraction for training and probe updates. Original images |
| are still required for photograph previews. Browsing saved tasks and using the |
| paper's Weight Tune / Staged feedback only require images and the |
| [task package](https://huggingface.co/datasets/Ian100/ProbeScout-tasks). |
|
|
| ## CelebA patch tokens |
|
|
| The 60.99 GB CelebA patch NPY is stored as 29 byte-range parts. From the download |
| directory containing `restore_patch_features.py`, run: |
|
|
| ```sh |
| python restore_patch_features.py --root . |
| ``` |
|
|
| Restoration verifies file hashes and needs an additional 60.99 GB of disk space. |
| It keeps the parts. Cars and HICO patch tokens are ordinary NPY files. |
|
|
| The code pins payload revision `3ef237a82d0c738a159aa49bb86764732d331265`. |
| Checksums are in `asset_manifest.json`. Original dataset terms apply; |
| photographs and historical human feedback are excluded. |
|
|
