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README.md

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+---
+license: mit
+tags:
+  - computer-vision
+  - microscopy
+  - materials-science
+  - encoder
+  - segmentation
+  - pytorch
+  - pretrained
+library_name: pretrained-microscopy-models
+---
+
+# Pretrained Microscopy Encoder - dpn98 (micronet)
+
+This is a `dpn98` encoder pretrained on `micronet` microscopy datasets, prepared for use with [segmentation_models.pytorch](https://github.com/qubvel-org/segmentation_models.pytorch).
+
+Models originally pretrained for [pretrained-microscopy-models](https://github.com/nasa/pretrained-microscopy-models)
+
+## Model Details
+
+- **Architecture**: dpn98
+- **Pretrained on**: micronet
+- **Input shape**: RGB images
+- **Framework**: PyTorch
+- **Use case**: Feature extraction, segmentation backbone
+
+## Files
+
+- `encoder_weights.pth` - PyTorch `state_dict()` of the encoder
+- `README.md` - This model card
+- `encoder.py` - Sample code to use the encoder within UNet.
+
+## License
+
+mit