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library_name: keras-hub |
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This is a [`DeepLabV3` model](https://keras.io/api/keras_hub/models/deep_lab_v3) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends. |
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This model is related to a `ImageSegmenter` task. |
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Model config: |
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* **name:** deep_lab_v3_backbone |
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* **trainable:** True |
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* **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'} |
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* **projection_filters:** 48 |
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* **dilation_rates:** [6, 12, 18] |
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* **upsampling_size:** 8 |
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* **low_level_feature_key:** P2 |
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* **spatial_pyramid_pooling_key:** P5 |
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* **image_shape:** [None, None, 3] |
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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. |
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