HanClinto/cornelius
object-detection model by HanClinto
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.
MobileViT-XXS corner detector trained to locate the four corners of a CCG card (Magic: The Gathering, Pokémon, etc.) in a photograph or video frame. All IoU values are quadrilateral IoU between predicted and labelled card corners. bad counts predictions with IoU < 0.5; collapse counts geometrically degenerate predictions where two predicted corners nearly coincide. Cornelius remains the stable, conservative default. The fastweb-single family is also available through the stable channel for consumers that explicitly select it; it is a smaller EfficientViT-B0 global-token SimCC detector being evaluated as a faster replacement candidate. Both models use the same 384×384 input contract and produce corners, compatibility presence, and sharpness outputs. Takeaways: 0.000072 IoU on the normal held-out test. local single-thread CPU benchmark. one remaining bad rotation-stress case where Cornelius has zero. style; small post-hoc parabolic peak-refinement gains were observed in local experiments but are not baked into this artifact. Speed benchmark details: ONNX…
Read the full model card ↗ · Preview checked 2026-10-28T02:36:53.309Z
Inside the original model card — Document outline
- Cornelius — CCG Card Corner Detector
- Model details
- Versions
- Evaluation
- Release comparison
- Cornelius vs fastweb-single
- Cornelius 2.12 checkpoint selection
- Occlusion + rotation smoke test
- Outputs
- Usage
- Direct ONNX usage
- Part of CollectorVision
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: 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
HanClinto/cornelius is a object-detection model repository published by HanClinto on Hugging Face. The source reports the collectorvision 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
- collectorvision
- Recent downloads (30 days)
- 5,387
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- agpl-3.0
- Access
- Not gated by Hugging Face
- Created
- 2026-04-21T23:20:22.000Z
- Last modified
- 2026-07-14T23:29:11.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: apple/mobilevit-xx-small
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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