| --- |
| license: cc-by-4.0 |
| library_name: timm |
| pipeline_tag: image-classification |
| tags: |
| - swinv2 |
| - image-classification |
| - underwater |
| - marine-biology |
| - scallop |
| - rov |
| - fisheries |
| --- |
| |
| # 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 checkpoint |
| - `class_eval_best.json` - macro + per-class metrics |
| - `classes.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. |
|
|
