metadata
library_name: keras-hub
This is a DeepLabV3 model 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: deep_lab_v3_backbone
- trainable: True
- image_encoder: {'module': 'keras_hub.src.models.resnet.resnet_backbone', 'class_name': 'ResNetBackbone', 'config': {'name': 'res_net_backbone', 'trainable': True, 'input_conv_filters': [64], 'input_conv_kernel_sizes': [7], 'stackwise_num_filters': [64, 128, 256, 512], 'stackwise_num_blocks': [3, 4, 6, 3], 'stackwise_num_strides': [1, 2, 2, 2], 'block_type': 'bottleneck_block', 'use_pre_activation': False, 'image_shape': [None, None, 3]}, 'registered_name': 'keras_hub>ResNetBackbone'}
- projection_filters: 48
- dilation_rates: [6, 12, 18]
- upsampling_size: 8
- low_level_feature_key: P2
- spatial_pyramid_pooling_key: P5
- image_shape: [None, None, 3]
This model card has been generated automatically and should be completed by the model author. See Model Cards documentation for more information.