model-specs/index-card-blank-detector-spec
Archival index-card blank/content pre-filter š§Ŗ Draft ā hf-model-spec-0.1 Ā· Personal working draft, not an HF convention. Feedback via Community tab. Purpose A tiny CPU-runnable binary image classifier that labels an archival index card as blank or content ā a cheap pre-filter that skips empty cards before expensive VLM metadata extraction in card-catalogue digitisation pipelines. Companion to the NLS card detector (which crops cards from page scans).ā¦ See the full description on the dataset page: https://huggingface.co/datasets/model-specs/index-card-blank-detector-spec.
Archival index-card blank/content pre-filter
š§Ŗ Draft ā `hf-model-spec-0.1` Ā· Personal working draft, not an HF convention. Feedback via Community tab.
Purpose
A tiny CPU-runnable binary image classifier that labels an archival index card as blank or content ā a cheap pre-filter that skips empty cards before expensive VLM metadata extraction in card-catalogue digitisation pipelines. Companion to the NLS card detector (which crops cards from page scans).
Data
The training dataset has 3 ClassLabel values (blank, content, divider) and 3 splits (train / validation / test, 392 / 69 / 75 rows). For v1, drop the divider class ā sample count (38 total) is too small to support a third class reliably, and downstream pipelines treat dividers and blanks the same (both = skip the VLM step).
Two source_collection values: boston_public_library (BPL FRC shelf-list cards) and national_library_of_scotland (NLS Advocates Library cards). Styles differ noticeably (paper colour, hole-punch pattern, typewriter vs handwritten content) ā per-collection eval required, not optional.