mosesb/best-comic-panel-detection
object-detection model by mosesb
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This repository contains a YOLOv12x object detection model fine-tuned to detect individual panels in comic book pages. The model identifies the bounding boxes for each panel, making it a valuable tool for digitizing comics, extracting content, or building datasets for downstream analysis. This model was trained in PyTorch using the powerful ultralytics library and demonstrates high performance on a custom-annotated dataset of comic pages. Visit this space to try out the model right now: TheBestComicPanelDetection. You can easily use this model with the ultralytics library. The model file best.pt from this repository is required. The model was fine-tuned using transfer learning from a YOLOv12x checkpoint pre-trained on the COCO dataset. The model's performance was evaluated on the validation set during training. The final metrics are based on the checkpoint that achieved the highest…
Read the full model card ↗ · Preview checked 2026-10-28T04:16:51.487Z
Inside the original model card — Document outline
- YOLOv12 for Comic Panel Detection
- Model Details
- How to Get Started
- Training Procedure
- Training Hyperparameters
- Evaluation
- Key Performance Metrics
- Qualitative Results
- Intended Use and Limitations
- Limitations
- Acknowledgements
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
mosesb/best-comic-panel-detection is a object-detection model repository published by mosesb 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)
- 22,705
- Cumulative likes
- 14
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-06-30T17:01:47.000Z
- Last modified
- 2025-06-30T17:41:49.000Z
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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