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Datasets:
JakeTurner616
/
mtg-cards-SIFT-Features

Tasks:
Feature Extraction
Languages:
English
French
German
Size:
100K<n<1M
Tags:
v5.1
License:
Dataset card Files
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Community
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 64, in _split_generators
                  with h5py.File(first_file, "r") as h5:
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/h5py/_hl/files.py", line 564, in __init__
                  fid = make_fid(name, mode, userblock_size, fapl, fcpl, swmr=swmr)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/h5py/_hl/files.py", line 238, in make_fid
                  fid = h5f.open(name, flags, fapl=fapl)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "h5py/_objects.pyx", line 56, in h5py._objects.with_phil.wrapper
                File "h5py/_objects.pyx", line 57, in h5py._objects.with_phil.wrapper
                File "h5py/h5f.pyx", line 102, in h5py.h5f.open
              FileNotFoundError: [Errno 2] Unable to synchronously open file (unable to open file: name = 'zip://candidate_features.h5::hf://datasets/JakeTurner616/mtg-cards-SIFT-Features@e4926b481e2ecec4597f4e4a43fe6761be734f9f/resources-nightly.zip', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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MTG Card SIFT Features Dataset (v5.1)

demo

This dataset contains the latest incremental MTG card SIFT + RootSIFT feature extraction pipeline. It is designed for server-side production inference, enabling additive updates to the FAISS index and id_map.json without retraining or reindexing from scratch.

Note: This version aligns with a daily resources-nightly.zip Hugging Face upload workflow for reliable continuous deployment via my production server.

What’s New in v5.1?

Feature v5.0 v5.1 (Current)
Index updates Additive-safe Same
Upload workflow Manual or ad-hoc Integrated with HF nightly pipeline
Logging Basic Detailed zipping and upload logs
Service impact Potential blocking uploads Runs in background, non-blocking
HF dataset structure Single zip upload Same, consistent naming

File Layout (resources-nightly.zip) 

resources/
└── run/
    ├── candidate_features.h5     # Keypoints + descriptors per card (gzip HDF5)
    ├── faiss_ivf.index           # FAISS IVF-PQ index
    └── id_map.json               # Descriptor index-to-scryfall_id mapping

What Is This?

A high-precision visual descriptor dataset for Magic: The Gathering cards, used for:

✅ Visual Search ✅ Mobile/Server Card Scanning ✅ FAISS-based Similarity Search ✅ Incremental Model Growth

Pipeline Summary

  1. Image Acquisition

    • Fetched from Scryfall using official API.

  2. Preprocessing

    • Resize with aspect ratio, CLAHE on L-channel, grayscale conversion.

  3. Feature Extraction

    • OpenCV SIFT + RootSIFT normalization.

  4. Storage

    • candidate_features.h5 using gzip compression.

  5. Indexing

    • FAISS IVF-PQ (100 clusters, 8x8 PQ), additive updates supported.

  6. Mapping

    • id_map.json aligns descriptors to scryfall_id.

  7. HF Upload

    • Zipped nightly, uploaded to HF dataset repo in the background.

Use Cases

✅ Real-time card scanning for Magic: The Gathering ✅ Card image search pipelines ✅ Local inference on low-resource servers ✅ Model growth without reindexing

Workflow (Simplified) 

[Input Image]
    ↓
[CLAHE + SIFT + RootSIFT]
    ↓
[FAISS IVF-PQ Search]
    ↓
[Retrieve scryfall_id]
    ↓
[Result]

Why v5.1 Matters

✅ No SQLite required ✅ Works with h5py + NumPy ✅ Parallel-safe and resumable ✅ Tiny memory footprint ✅ MIT Licensed for free, unlimited use

Acknowledgments

Created by JakeTurner616 Powered by:

For deep implementation details, see the mtgscan.cards monorepo.

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