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deeplab_v3_plus_resnet50_pascalvoc

Image Segmentation
KerasHub
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Files changed (8) hide show
  1. README.md +18 -0
  2. config.json +63 -0
  3. image_converter.json +25 -0
  4. metadata.json +6 -0
  5. model.weights.h5 +3 -0
  6. preprocessor.json +43 -0
  7. task.json +116 -0
  8. task.weights.h5 +3 -0
README.md ADDED
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+ ---
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+ library_name: keras-hub
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+ ---
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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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+
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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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+
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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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+ "trainable": true,
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+ "class_name": "DeepLabV3ImageConverter",
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metadata.json ADDED
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