update presets to point to the main Keras Kaggle page

keras_hub/src/models/deeplab_v3/deeplab_v3_presets.py

@@ -13,6 +13,6 @@
             "path": "deeplabv3",
             "model_card": "https://arxiv.org/abs/1802.02611",
         },
-        "kaggle_handle": "kaggle://kerashub/deeplabv3/keras/deeplabv3_plus_resnet50_pascalvoc",
+        "kaggle_handle": "kaggle://keras/deeplabv3/keras/deeplabv3_plus_resnet50_pascalvoc/3",
     },
 }

keras_hub/src/models/densenet/densenet_presets.py

@@ -12,7 +12,7 @@
             "path": "densenet",
             "model_card": "https://arxiv.org/abs/1608.06993",
         },
-        "kaggle_handle": "kaggle://kerashub/densenet/keras/densenet_121_imagenet",
+        "kaggle_handle": "kaggle://keras/densenet/keras/densenet_121_imagenet/1",
     },
     "densenet_169_imagenet": {
         "metadata": {
@@ -25,7 +25,7 @@
             "path": "densenet",
             "model_card": "https://arxiv.org/abs/1608.06993",
         },
-        "kaggle_handle": "kaggle://kerashub/densenet/keras/densenet_169_imagenet",
+        "kaggle_handle": "kaggle://keras/densenet/keras/densenet_169_imagenet/1",
     },
     "densenet_201_imagenet": {
         "metadata": {
@@ -38,6 +38,6 @@
             "path": "densenet",
             "model_card": "https://arxiv.org/abs/1608.06993",
         },
-        "kaggle_handle": "kaggle://kerashub/densenet/keras/densenet_201_imagenet",
+        "kaggle_handle": "kaggle://keras/densenet/keras/densenet_201_imagenet/1",
     },
 }

keras_hub/src/models/mix_transformer/mix_transformer_presets.py

@@ -21,7 +21,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b0_ade20k_512",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b0_ade20k_512/1",
     },
     "mit_b1_ade20k_512": {
         "metadata": {
@@ -32,7 +32,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b1_ade20k_512",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b1_ade20k_512/1",
     },
     "mit_b2_ade20k_512": {
         "metadata": {
@@ -43,7 +43,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b2_ade20k_512",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b2_ade20k_512/1",
     },
     "mit_b3_ade20k_512": {
         "metadata": {
@@ -54,7 +54,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b3_ade20k_512",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b3_ade20k_512/1",
     },
     "mit_b4_ade20k_512": {
         "metadata": {
@@ -65,7 +65,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b4_ade20k_512",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b4_ade20k_512/1",
     },
     "mit_b5_ade20k_640": {
         "metadata": {
@@ -76,7 +76,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b5_ade20k_512",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b5_ade20k_512/1",
     },
     "mit_b0_cityscapes_1024": {
         "metadata": {
@@ -87,7 +87,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b0_cityscapes_1024",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b0_cityscapes_1024/1",
     },
     "mit_b1_cityscapes_1024": {
         "metadata": {
@@ -98,7 +98,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b1_cityscapes_1024",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b1_cityscapes_1024/1",
     },
     "mit_b2_cityscapes_1024": {
         "metadata": {
@@ -109,7 +109,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b2_cityscapes_1024",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b2_cityscapes_1024/1",
     },
     "mit_b3_cityscapes_1024": {
         "metadata": {
@@ -120,7 +120,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b3_cityscapes_1024",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b3_cityscapes_1024/1",
     },
     "mit_b4_cityscapes_1024": {
         "metadata": {
@@ -131,7 +131,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b4_cityscapes_1024",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b4_cityscapes_1024/1",
     },
     "mit_b5_cityscapes_1024": {
         "metadata": {
@@ -142,7 +142,7 @@
             "official_name": "MiT",
             "path": "mit",
         },
-        "kaggle_handle": "kaggle://kerashub/mix-transformer/keras/mit_b5_cityscapes_1024",
+        "kaggle_handle": "kaggle://keras/mit/keras/mit_b5_cityscapes_1024/1",
     },
 }
 

keras_hub/src/models/resnet/resnet_presets.py

@@ -12,7 +12,7 @@
             "path": "resnet",
             "model_card": "https://arxiv.org/abs/2110.00476",
         },
-        "kaggle_handle": "kaggle://kerashub/resnetv1/keras/resnet_18_imagenet/3",
+        "kaggle_handle": "kaggle://keras/resnetv1/keras/resnet_18_imagenet/1",
     },
     "resnet_50_imagenet": {
         "metadata": {
@@ -25,7 +25,7 @@
             "path": "resnet",
             "model_card": "https://arxiv.org/abs/2110.00476",
         },
-        "kaggle_handle": "kaggle://kerashub/resnetv1/keras/resnet_50_imagenet/3",
+        "kaggle_handle": "kaggle://keras/resnetv1/keras/resnet_50_imagenet/1",
     },
     "resnet_101_imagenet": {
         "metadata": {
@@ -38,7 +38,7 @@
             "path": "resnet",
             "model_card": "https://arxiv.org/abs/2110.00476",
         },
-        "kaggle_handle": "kaggle://kerashub/resnetv1/keras/resnet_101_imagenet/3",
+        "kaggle_handle": "kaggle://keras/resnetv1/keras/resnet_101_imagenet/1",
     },
     "resnet_152_imagenet": {
         "metadata": {
@@ -51,7 +51,7 @@
             "path": "resnet",
             "model_card": "https://arxiv.org/abs/2110.00476",
         },
-        "kaggle_handle": "kaggle://kerashub/resnetv1/keras/resnet_152_imagenet/3",
+        "kaggle_handle": "kaggle://keras/resnetv1/keras/resnet_152_imagenet/1",
     },
     "resnet_v2_50_imagenet": {
         "metadata": {
@@ -64,7 +64,7 @@
             "path": "resnet",
             "model_card": "https://arxiv.org/abs/2110.00476",
         },
-        "kaggle_handle": "kaggle://kerashub/resnetv2/keras/resnet_v2_50_imagenet/3",
+        "kaggle_handle": "kaggle://keras/resnetv2/keras/resnet_v2_50_imagenet/1",
     },
     "resnet_v2_101_imagenet": {
         "metadata": {
@@ -77,6 +77,6 @@
             "path": "resnet",
             "model_card": "https://arxiv.org/abs/2110.00476",
         },
-        "kaggle_handle": "kaggle://kerashub/resnetv2/keras/resnet_v2_101_imagenet/3",
+        "kaggle_handle": "kaggle://keras/resnetv2/keras/resnet_v2_101_imagenet/1",
     },
 }

keras_hub/src/models/sam/sam_presets.py

@@ -9,7 +9,7 @@
             "path": "sam",
             "model_card": "https://arxiv.org/abs/2304.02643",
         },
-        "kaggle_handle": "kaggle://kerashub/sam/keras/sam_base_sa1b/2",
+        "kaggle_handle": "kaggle://keras/sam/keras/sam_base_sa1b/2",
     },
     "sam_large_sa1b": {
         "metadata": {
@@ -19,7 +19,7 @@
             "path": "sam",
             "model_card": "https://arxiv.org/abs/2304.02643",
         },
-        "kaggle_handle": "kaggle://kerashub/sam/keras/sam_large_sa1b/2",
+        "kaggle_handle": "kaggle://keras/sam/keras/sam_large_sa1b/3",
     },
     "sam_huge_sa1b": {
         "metadata": {
@@ -29,6 +29,6 @@
             "path": "sam",
             "model_card": "https://arxiv.org/abs/2304.02643",
         },
-        "kaggle_handle": "kaggle://kerashub/sam/keras/sam_huge_sa1b/2",
+        "kaggle_handle": "kaggle://keras/sam/keras/sam_huge_sa1b/3",
     },
 }

keras_hub/src/models/stable_diffusion_3/stable_diffusion_3_presets.py

@@ -13,6 +13,6 @@
             "path": "stablediffusion3",
             "model_card": "https://arxiv.org/abs/2110.00476",
         },
-        "kaggle_handle": "kaggle://kerashub/stablediffusion3/keras/stable_diffusion_3_medium/4",
+        "kaggle_handle": "kaggle://keras/stablediffusion3/keras/stable_diffusion_3_medium/1",
     }
 }

keras_hub/src/models/vgg/vgg_presets.py

@@ -0,0 +1,56 @@
+"""vgg preset configurations."""
+
+backbone_presets = {
+    "vgg_11_imagenet": {
+        "metadata": {
+            "description": (
+                "11-layer vgg model pre-trained on the ImageNet 1k dataset "
+                "at a 224x224 resolution."
+            ),
+            "params": 9220480,
+            "official_name": "vgg",
+            "path": "vgg",
+            "model_card": "https://arxiv.org/abs/1409.1556",
+        },
+        "kaggle_handle": "kaggle://keras/vgg/keras/vgg_11_imagenet/1",
+    },
+    "vgg_13_imagenet": {
+        "metadata": {
+            "description": (
+                "13-layer vgg model pre-trained on the ImageNet 1k dataset "
+                "at a 224x224 resolution."
+            ),
+            "params": 9404992,
+            "official_name": "vgg",
+            "path": "vgg",
+            "model_card": "https://arxiv.org/abs/1409.1556",
+        },
+        "kaggle_handle": "kaggle://keras/vgg/keras/vgg_13_imagenet/1",
+    },
+    "vgg_16_imagenet": {
+        "metadata": {
+            "description": (
+                "16-layer vgg model pre-trained on the ImageNet 1k dataset "
+                "at a 224x224 resolution."
+            ),
+            "params": 14714688,
+            "official_name": "vgg",
+            "path": "vgg",
+            "model_card": "https://arxiv.org/abs/1409.1556",
+        },
+        "kaggle_handle": "kaggle://keras/vgg/keras/vgg_16_imagenet/1",
+    },
+    "vgg_19_imagenet": {
+        "metadata": {
+            "description": (
+                "19-layer vgg model pre-trained on the ImageNet 1k dataset "
+                "at a 224x224 resolution."
+            ),
+            "params": 20024384,
+            "official_name": "vgg",
+            "path": "vgg",
+            "model_card": "https://arxiv.org/abs/1409.1556",
+        },
+        "kaggle_handle": "kaggle://keras/vgg/keras/vgg_19_imagenet/1",
+    },
+}