keras / dfine_small_obj2coco

huggingface.co
Total runs: 8
24-hour runs: 1
7-day runs: 1
30-day runs: 4
Model's Last Updated: February 27 2026

Introduction of dfine_small_obj2coco

Model Details of dfine_small_obj2coco

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': [128, 256, 512, 1024], 'stem_channels': [3, 16, 16], 'hidden_act': 'relu', 'use_learnable_affine_block': True, 'stackwise_stage_filters': [[16, 16, 64, 1, 3, 3], [64, 32, 256, 1, 3, 3], [256, 64, 512, 2, 3, 5], [512, 128, 1024, 1, 3, 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: [256, 256, 256]
  • encoder_hidden_dim: 256
  • num_labels: 80
  • 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: [256, 512, 1024]
  • encode_proj_layers: [2]
  • num_attention_heads: 8
  • encoder_ffn_dim: 1024
  • num_encoder_layers: 1
  • hidden_expansion: 0.5
  • depth_multiplier: 0.34
  • eval_idx: -1
  • box_noise_scale: 1.0
  • label_noise_ratio: 0.5
  • labels: None
  • num_decoder_layers: 3
  • 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_small_obj2coco on huggingface.co

8
Total runs
1
24-hour runs
0
3-day runs
1
7-day runs
4
30-day runs

More Information About dfine_small_obj2coco huggingface.co Model

dfine_small_obj2coco huggingface.co

dfine_small_obj2coco huggingface.co is an AI model on huggingface.co that provides dfine_small_obj2coco's model effect (), which can be used instantly with this keras dfine_small_obj2coco model. huggingface.co supports a free trial of the dfine_small_obj2coco model, and also provides paid use of the dfine_small_obj2coco. Support call dfine_small_obj2coco model through api, including Node.js, Python, http.

dfine_small_obj2coco huggingface.co Url

https://huggingface.co/keras/dfine_small_obj2coco

keras dfine_small_obj2coco online free

dfine_small_obj2coco huggingface.co is an online trial and call api platform, which integrates dfine_small_obj2coco's modeling effects, including api services, and provides a free online trial of dfine_small_obj2coco, you can try dfine_small_obj2coco online for free by clicking the link below.

keras dfine_small_obj2coco online free url in huggingface.co:

https://huggingface.co/keras/dfine_small_obj2coco

dfine_small_obj2coco install

dfine_small_obj2coco is an open source model from GitHub that offers a free installation service, and any user can find dfine_small_obj2coco on GitHub to install. At the same time, huggingface.co provides the effect of dfine_small_obj2coco install, users can directly use dfine_small_obj2coco installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

dfine_small_obj2coco install url in huggingface.co:

https://huggingface.co/keras/dfine_small_obj2coco

Url of dfine_small_obj2coco

dfine_small_obj2coco huggingface.co Url

Provider of dfine_small_obj2coco huggingface.co

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