FishingROV - SwinV2-B 256 classifier (crops)
Zoo ID: cls-classifier_swinv2b_256 - canonical weights: best.pt
SwinV2-B classifier for 5-way scallop taxonomy on square crops. Used in the 3090-side detector -> crop -> classifier pipeline (paired with the YOLO teacher for ROI generation). This is a classifier only; it does not perform detection.
Dataset provenance (station-disjoint)
This model is trained on DS-CLS224 (classifier_data) generated from the
public Zenodo dataset:
- Train split: Zenodo Training files stations
- Val split: Zenodo Test files stations (station-disjoint)
Crops are square, centered on human boxes, padded if needed, resized to 224px. Negatives are sampled away from GT boxes. No augmentation.
Metrics (same-crop validation)
All metrics below are from classifier_data/val (station-disjoint Test files).
| Metric | Value |
|---|---|
| Macro precision | 0.700 |
| Macro recall | 0.654 |
| Macro F1 | 0.661 |
| Accuracy | 0.966 |
Per-class metrics (from class_eval_best.json):
| Class | Precision | Recall | F1 | Support |
|---|---|---|---|---|
| dead | 0.464 | 0.642 | 0.539 | 81 |
| king | 0.391 | 0.237 | 0.295 | 76 |
| not_a_scallop | 0.991 | 0.996 | 0.993 | 5781 |
| queen | 0.818 | 0.899 | 0.857 | 296 |
| recessed | 0.837 | 0.497 | 0.623 | 145 |
Intended use & limitations
- Intended for crop classification, not end-to-end detection.
- Trained only on the St Andrews survey distribution; generalization is unknown.
- King class remains the weakest; expect confusion in borderline cases.
Files
best.pt- best checkpoint (SwinV2-B 256)last.pt- final checkpointclass_eval_best.json- macro + per-class metricsclasses.json,history.json
Attribution & License
This model is a derivative work based on the University of St Andrews King Scallop dataset.
- Original DOI: https://doi.org/10.5281/zenodo.10156830
Released under CC-BY 4.0 with attribution to the original authors.
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