metadata

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.

Models originally pretrained for 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