keras / dfine_xlarge_obj365

huggingface.co
Total runs: 9
24-hour runs: -1
7-day runs: 1
30-day runs: 8
Model's Last Updated: February 27 2026

Introduction of dfine_xlarge_obj365

Model Details of dfine_xlarge_obj365

This is a DFine model 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: d_fine_backbone
  • trainable: True
  • backbone: {'module': 'keras_hub.src.models.hgnetv2.hgnetv2_backbone', 'class_name': 'HGNetV2Backbone', 'config': {'name': 'hg_net_v2_backbone', 'trainable': True, 'depths': [3, 4, 6, 3], 'embedding_size': 32, 'hidden_sizes': [256, 512, 1024, 2048], 'stem_channels': [3, 32, 64], 'hidden_act': 'relu', 'use_learnable_affine_block': False, 'stackwise_stage_filters': [[64, 64, 128, 1, 6, 3], [128, 128, 512, 2, 6, 3], [512, 256, 1024, 5, 6, 5], [1024, 512, 2048, 2, 6, 5]], 'apply_downsample': [False, True, True, True], 'use_lightweight_conv_block': [False, False, True, True], 'image_shape': [None, None, 3], 'out_features': ['stage2', 'stage3', 'stage4'], 'data_format': 'channels_last'}, 'registered_name': 'keras_hub>HGNetV2Backbone'}
  • decoder_in_channels: [384, 384, 384]
  • encoder_hidden_dim: 384
  • num_labels: 366
  • num_denoising: 100
  • learn_initial_query: False
  • num_queries: 300
  • anchor_image_size: [640, 640]
  • feat_strides: [8, 16, 32]
  • num_feature_levels: 3
  • hidden_dim: 256
  • encoder_in_channels: [512, 1024, 2048]
  • encode_proj_layers: [2]
  • num_attention_heads: 8
  • encoder_ffn_dim: 2048
  • num_encoder_layers: 1
  • hidden_expansion: 1.0
  • depth_multiplier: 1.0
  • eval_idx: -1
  • box_noise_scale: 1.0
  • label_noise_ratio: 0.5
  • labels: None
  • num_decoder_layers: 6
  • decoder_attention_heads: 8
  • decoder_ffn_dim: 1024
  • decoder_method: default
  • decoder_n_points: [3, 6, 3]
  • lqe_hidden_dim: 64
  • num_lqe_layers: 2
  • seed: 0
  • image_shape: [None, None, 3]
  • data_format: channels_last
  • out_features: ['stage2', 'stage3', 'stage4']

This model card has been generated automatically and should be completed by the model author. See Model Cards documentation for more information.

Runs of keras dfine_xlarge_obj365 on huggingface.co

9
Total runs
-1
24-hour runs
-1
3-day runs
1
7-day runs
8
30-day runs

More Information About dfine_xlarge_obj365 huggingface.co Model

dfine_xlarge_obj365 huggingface.co

dfine_xlarge_obj365 huggingface.co is an AI model on huggingface.co that provides dfine_xlarge_obj365's model effect (), which can be used instantly with this keras dfine_xlarge_obj365 model. huggingface.co supports a free trial of the dfine_xlarge_obj365 model, and also provides paid use of the dfine_xlarge_obj365. Support call dfine_xlarge_obj365 model through api, including Node.js, Python, http.

dfine_xlarge_obj365 huggingface.co Url

https://huggingface.co/keras/dfine_xlarge_obj365

keras dfine_xlarge_obj365 online free

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keras dfine_xlarge_obj365 online free url in huggingface.co:

https://huggingface.co/keras/dfine_xlarge_obj365

dfine_xlarge_obj365 install

dfine_xlarge_obj365 is an open source model from GitHub that offers a free installation service, and any user can find dfine_xlarge_obj365 on GitHub to install. At the same time, huggingface.co provides the effect of dfine_xlarge_obj365 install, users can directly use dfine_xlarge_obj365 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

dfine_xlarge_obj365 install url in huggingface.co:

https://huggingface.co/keras/dfine_xlarge_obj365

Url of dfine_xlarge_obj365

dfine_xlarge_obj365 huggingface.co Url

Provider of dfine_xlarge_obj365 huggingface.co

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