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NealCaren/american-stories-onnx
american-stories-onnx is a object detection model from NealCaren. Use it when you need objects located in an image. The card lists the license as cc-by-4.0.
ONNX detectors for historical-newspaper layout analysis, used by newspaper-ocr as the AsYoloDetector backend. Mirrored here so the detector can download them on demand instead of depending on a local Dropbox path.
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Updated Sep 12, 2026
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From the Hugging Face model README
ONNX detectors for historical-newspaper layout analysis, used by
newspaper-ocr as the AsYoloDetector
backend. Mirrored here so the detector can download them on demand instead of
depending on a local Dropbox path.
From the American Stories project (dell-research-harvard/AmericanStories, NeurIPS 2023). YOLOv8 models trained on Library of Congress Chronicling America scans; upstream distributes them via a Dropbox folder. Public-domain source.
layout_model_new.onnx — page layout/region detector (~104 MB, md5 21d242c6…).line_model_new.onnx — line detector (~44 MB, md5 23fccd7b…). Re-fetched from the
official Dropbox after an earlier local copy had been overwritten with the layout model.from newspaper_ocr.detectors.as_yolo import AsYoloDetector
det = AsYoloDetector() # auto-downloads from this repo if not cached locally