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5 changes: 5 additions & 0 deletions keras_hub/src/models/d_fine/__init__.py
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from keras_hub.src.models.d_fine.d_fine_backbone import DFineBackbone
from keras_hub.src.models.d_fine.d_fine_presets import backbone_presets
from keras_hub.src.utils.preset_utils import register_presets

register_presets(backbone_presets, DFineBackbone)
155 changes: 154 additions & 1 deletion keras_hub/src/models/d_fine/d_fine_presets.py
Original file line number Diff line number Diff line change
@@ -1,2 +1,155 @@
# Metadata for loading pretrained model weights.
backbone_presets = {}
backbone_presets = {
"dfine_nano_coco": {
"metadata": {
"description": (
"D-FINE Nano model, the smallest variant in the family, "
"pretrained on the COCO dataset. Ideal for applications "
"where computational resources are limited."
),
"params": 3788625,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_nano_coco/1",
},
"dfine_small_coco": {
"metadata": {
"description": (
"D-FINE Small model pretrained on the COCO dataset. Offers a "
"balance between performance and computational efficiency."
),
"params": 10329321,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_small_coco/1",
},
"dfine_medium_coco": {
"metadata": {
"description": (
"D-FINE Medium model pretrained on the COCO dataset. A solid "
"baseline with strong performance for general-purpose "
"object detection."
),
"params": 19621160,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_medium_coco/1",
},
"dfine_large_coco": {
"metadata": {
"description": (
"D-FINE Large model pretrained on the COCO dataset. Provides "
"high accuracy and is suitable for more demanding tasks."
),
"params": 31344064,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_large_coco/1",
},
"dfine_xlarge_coco": {
"metadata": {
"description": (
"D-FINE X-Large model, the largest COCO-pretrained variant, "
"designed for state-of-the-art performance where accuracy "
"is the top priority."
),
"params": 62834048,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_xlarge_coco/1",
},
"dfine_small_obj365": {
"metadata": {
"description": (
"D-FINE Small model pretrained on the large-scale Objects365 "
"dataset, enhancing its ability to recognize a wider "
"variety of objects."
),
"params": 10623329,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_small_obj365/1",
},
"dfine_medium_obj365": {
"metadata": {
"description": (
"D-FINE Medium model pretrained on the Objects365 dataset. "
"Benefits from a larger and more diverse pretraining corpus."
),
"params": 19988670,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_medium_obj365/1",
},
"dfine_large_obj365": {
"metadata": {
"description": (
"D-FINE Large model pretrained on the Objects365 dataset for "
"improved generalization and performance on diverse object "
"categories."
),
"params": 31858578,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_large_obj365/1",
},
"dfine_xlarge_obj365": {
"metadata": {
"description": (
"D-FINE X-Large model pretrained on the Objects365 dataset, "
"offering maximum performance by leveraging a vast number "
"of object categories during pretraining."
),
"params": 63348562,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_xlarge_obj365/1",
},
"dfine_small_obj2coco": {
"metadata": {
"description": (
"D-FINE Small model first pretrained on Objects365 and then "
"fine-tuned on COCO, combining broad feature learning with "
"benchmark-specific adaptation."
),
"params": 10329321,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_small_obj2coco/1",
},
"dfine_medium_obj2coco": {
"metadata": {
"description": (
"D-FINE Medium model using a two-stage training process: "
"pretraining on Objects365 followed by fine-tuning on COCO."
),
"params": 19621160,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_medium_obj2coco/1",
},
"dfine_large_obj2coco_e25": {
"metadata": {
"description": (
"D-FINE Large model pretrained on Objects365 and then "
"fine-tuned on COCO for 25 epochs. A high-performance model "
"with specialized tuning."
),
"params": 31344064,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_large_obj2coco_e25/1",
},
"dfine_xlarge_obj2coco": {
"metadata": {
"description": (
"D-FINE X-Large model, pretrained on Objects365 and fine-tuned "
"on COCO, representing the most powerful model in this "
"series for COCO-style tasks."
),
"params": 62834048,
"path": "d_fine",
},
"kaggle_handle": "kaggle://keras/d-fine/keras/dfine_xlarge_obj2coco/1",
},
}
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