INGMUYLEANG/chakkhu-ocr
image-to-text model by INGMUYLEANG
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Model card & documentation
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Chakkhu (ចក្ខុ, "eye") reads Khmer and English text lines from pictures: documents, scans, phone photos of paper, screenshots, chat pictures and signs. It is small (18.6M parameters) and runs on a CPU. Demo: INGMUYLEANG/chakkhu-demo · Made by Ing Muyleang. By picture kind (CER %): All models were scored by us with the same script, the same line crops and the same text normalization (NFC). KHOB level-1 tasks 2–4 use the task-1 boxes, aligned to each picture; two pages that show a different letter were left out. The CTC weight of the reader (0.5) was set before scoring; 0.3 and 0.7 give 5.68% and 5.58%. Weaker on: street signs (decorative fonts, night photos), English-only lines, handwriting (not trained). Reading with both heads: the decoder writes its 4 best guesses (beam search), the CTC draft is added, and each guess is scored by both heads (0.5 · CTC + 0.5 · decoder).…
Read the full model card ↗ · Preview checked 2026-11-10T07:52:31.514Z
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Model overview
INGMUYLEANG/chakkhu-ocr is a image-to-text model repository published by INGMUYLEANG on Hugging Face. The source reports the pytorch library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-to-text
- Library
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 18,562,218
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-10T06:19:02.000Z
- Last modified
- 2026-11-10T06:19:29.000Z
Compatibility and lineage
Reported languages: km, en
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 2026-11-10T06:56:23.256Z. 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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