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| tags: [image-classification, plankton, PISCO, vision-transformer] | |
| license: mit | |
| # M181_binary | |
| First stage of the PISCO dual-ViT: **living vs not-living**. Fine-tuned | |
| `google/vit-base-patch16-224-in21k` on expert-validated crops from cruise | |
| **M181** (tropical Atlantic, April-May 2022). Test accuracy 97.65%. | |
| **Classes (2):** living, not-living | |
| ## Important: this model is coupled to its preprocessing | |
| Trained on crops produced by the **231204 LUCYD deconvolution** | |
| (`lucyd-edof-plankton_231204.pth`, the pipeline default) with **non-isolated** | |
| crops (neighbouring particles present). Running it on crops from a different | |
| deconvolution model, or on neighbour-isolated crops, is an out-of-domain shift: | |
| measured on ATAIR-BSH, swapping the deconvolution alone collapsed the living | |
| rate by 83-93% at unchanged confidence. Treat deconvolution + crop isolation + | |
| classifier as one versioned unit. | |
| Preprocessing: resize longest edge to 224, centre-pad to 224x224 with white | |
| (255), normalise mean=std=0.5. No rotation at inference. Crops must carry no | |
| scale bar (or have it removed with `utils.strip_scale_bar`). | |
| ## Use in the pipeline | |
| These are the pipeline defaults (`--binary-model-dir` / `--living-model-dir`), | |
| or from any machine: | |
| ``` | |
| process_pisco_profiles.py --binary-model-hf Veit/M181_binary --living-model-hf Veit/M181_multiclass | |
| process_pisco_profiles.py --dualvit-model M181 # resolves both from the Hub when not local | |
| ``` | |