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---
license: mit
tags:
- computer-vision
- microscopy
- materials-science
- encoder
- segmentation
- pytorch
- pretrained
library_name: pretrained-microscopy-models
---
# Pretrained Microscopy Encoder - resnext50_32x4d (imagenet-micronet)
This is a `resnext50_32x4d` encoder pretrained on `imagenet-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**: resnext50_32x4d
- **Pretrained on**: imagenet-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
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