AI-for-Medicine-and-Health/polyp-regime-bench-models
object-detection model by AI-for-Medicine-and-Health
From the publisher
Model card & documentation
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This repository is planned to contain the best.pt checkpoint for each of the 648 completed canonical runs: 12 detectors × 3 white-light datasets × 3 model seeds × 6 training conditions. The six conditions are scratchbase, pretrainedbase, pretrainedaug3x, pretrainedaug5x, pretrainedaug10x, and pretrainedrepeat5x. Files under predictions/ are the canonical cached inference exports and ensemble summaries. Interrupted runs, last.pt checkpoints, worker logs, and duplicate legacy folders are excluded. checkpointindex.jsonl records condition, seed, dataset, architecture, file size, SHA-256 and selected test metrics. The published checkpoints are copies with local training paths removed from their metadata; sourcesha256 records the original checkpoint hash for provenance. Model weights…
Read the full model card ↗ · Preview checked 2026-10-01T06:55:27.540Z
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Model overview
AI-for-Medicine-and-Health/polyp-regime-bench-models is a object-detection model repository published by AI-for-Medicine-and-Health on Hugging Face. A library was not reported.
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
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-10-01T06:36:46.000Z
- Last modified
- 2026-10-01T06:37:53.000Z
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 2026-10-01T06:38:27.225Z. 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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