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POSEatSea — model weights

Weights for the POSEatSea maritime oil-spill detection and vessel attribution console (SIH Problem Statement 26143, NTRO).

File	Architecture	Notes
`best_sar_model.pth`	U-Net + MiT-B2 encoder, 5 classes	Expects 512×512 input. See caveat below.
`trajectory_lstm_baseline.pth`	LSTM(6→128)×2 + Linear(128→2)	Mauritius AOI, ~60 s ping cadence
`ais_phase1_autoencoder.pth`	Autoencoder 11→16→8→4→8→16→11	Threshold 1.104481
`ais_phase1_scaler.joblib`	StandardScaler, 11 features	Mandatory — the model returns nonsense on unscaled input

Code: https://github.com/23f2003521/SIH2026

SAR checkpoint

Expects 512x512 input. Running inference at another resolution does not degrade gracefully -- it returns incoherent noise.

An earlier export of this file carried a trained encoder with an untrained decoder and head, and emitted noise on every input. The current file is trained through (BatchNorm num_batches_tracked = 7530) and reproduces the reference outputs at 0.81 oil IoU.

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