Synthetic Veterinary Ultrasound Dataset AFAST/POCUS (Dogs & Cats) Procedurally generated synthetic ultrasound images for 4 class AFAST window classification (CC, DH, HR, SR) in small animal veterinary medicine. NOT real ultrasound. NOT clinically usable. Generator: numpy/PIL with Rayleigh speckle noise + geometric anatomical primitives. Intended for pipeline sanity checks and ML architecture testing. Splits Split Images Per class Seed Purpose train 3200 800 42 Training test 800 200 42 Validation / early stopping / ablation holdout 800 200 123 Final hold out evaluation only (model never seen during training) Methodological note: holdout uses a different generator seed (123 vs 42 for train/test) to provide an honest final evaluation set. Model selection and hyperparameter tuning use test split; holdout is held back until the very end of the experiment. Classes (AFAST windows) Code Window CC Cysto Colic DH Diaphragmatico Hepatic HR Hepato Renal SR Spleno Renal How to Load Regulatory Note (EU AI Act) Model fine tuned exclusively on this synthetic veterinary dataset is not classified as high risk AI under EU AI Act Art. 6 + Annex III. Production deployment would require fine tuning on r…
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