---
library_name: keras-hub
---
This is a [`SegFormer` model](https://keras.io/api/keras_hub/models/seg_former) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
This model is related to a `ImageSegmenter` task.

Model config:
* **name:** seg_former_backbone
* **trainable:** True
* **projection_filters:** 768
* **image_encoder:** {'module': 'keras_hub.src.models.mit.mit_backbone', 'class_name': 'MiTBackbone', 'config': {'name': 'mi_t_backbone', 'trainable': True, 'layerwise_depths': [3, 4, 18, 3], 'hidden_dims': [64, 128, 320, 512], 'image_shape': [512, 512, 3], 'num_layers': 4, 'layerwise_num_heads': [1, 2, 5, 8], 'layerwise_sr_ratios': [8, 4, 2, 1], 'max_drop_path_rate': 0.1, 'layerwise_patch_sizes': [7, 3, 3, 3], 'layerwise_strides': [4, 2, 2, 2]}, 'registered_name': 'keras_hub>MiTBackbone'}

This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.