| library_name: keras-hub | |
| This is a [`RetinaNet` model](https://keras.io/api/keras_hub/models/retina_net) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends. | |
| This model is related to a `ObjectDetector` task. | |
| Model config: | |
| * **name:** retina_net_backbone_1 | |
| * **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'} | |
| * **min_level:** 3 | |
| * **max_level:** 7 | |
| * **use_p5:** False | |
| * **use_fpn_batch_norm:** False | |
| * **image_shape:** [None, None, 3] | |
| 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. | |