leoxs22/manga-panel-detector-yolo26n

object-detection model by leoxs22

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A lightweight YOLO26-nano model fine-tuned on Manga109-s for detecting panels and text bubbles in manga pages. Designed for on-device Android inference via TFLite/LiteRT. Use mangapaneldetectorint8.tflite with the TensorFlow Lite interpreter or Google's LiteRT runtime. These weights are a fine-tune of Ultralytics YOLO26, which Ultralytics distributes under the GNU Affero General Public License v3.0. Ultralytics' position is that models trained or fine-tuned from their weights and code fall under AGPL-3.0 as well, so this model is released under AGPL-3.0. In practice, this means: Earlier versions of this page listed the model as Apache 2.0. That label was incorrect, because I did not have the rights to grant it. If you adopted the model under that assumption, please review your project against the terms above. I'm not a lawyer, and whether…

leoxs22/manga-panel-detector-yolo26n on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-01T06:41:26.839Z

Inside the original model card — Document outline
  1. Manga panel & text detector (YOLO26-nano)
  2. Performance
  3. INT8 TFLite (2.71 MB)
  4. Quantization impact (FP32 vs INT8)
  5. Training curves
  6. Model details
  7. Files
  8. Usage
  9. Python (ultralytics)
  10. Android (TFLite / LiteRT)
  11. Training
  12. License

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Documentation belongs to its respective authors. Reported project/model license: agpl-3.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

leoxs22/manga-panel-detector-yolo26n is a object-detection model repository published by leoxs22 on Hugging Face. The source reports the ultralytics 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
ultralytics
Recent downloads (30 days)
1,435
Cumulative likes
16
Hugging Face trending score
1
Reported safetensors parameters
Not reported
Architecture
Not reported
License
agpl-3.0
Access
Not gated by Hugging Face
Created
2026-03-30T11:37:53.000Z
Last modified
2026-09-24T20:55:13.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Ultralytics/YOLO26

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

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-01T06:41:23.286Z. 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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