datalab-to/surya_layout2
object-detection model by datalab-to
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Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
A lightweight document layout detection model used by Surya. It detects layout regions (text, tables, figures, headers, captions, equations, etc.) on a page image and runs on CPU or GPU. This is the "fast" layout detector — a compact object detector that serves as a drop-in alternative to Surya's VLM-based layout model. ➡️ Documentation, installation, and everything else lives in the Surya repository. Install…
Read the full model card ↗ · Preview checked 2026-10-28T01:44:48.100Z
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Documentation belongs to its respective authors. Reported project/model license: openrail. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
datalab-to/surya_layout2 is a object-detection model repository published by datalab-to on Hugging Face. The source reports the surya library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- object-detection
- Library
- surya
- Recent downloads (30 days)
- 14,441
- Cumulative likes
- 10
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- openrail
- Access
- Not gated by Hugging Face
- Created
- 2026-07-08T13:50:04.000Z
- Last modified
- 2026-07-08T17:02:21.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:34.007Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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