refactor: all data feat: upload script

.gitattributes

@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+data filter=lfs diff=lfs merge=lfs -text

annotations.xml

@@ -1,236 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<annotations>
-  <version>1.1</version>
-  <meta>
-    <task>
-
-      <owner>
-        <username>TrainingData</username>
-        <email/>
-      </owner>
-      
-      <labels>
-        <label>
-          <name>type_1</name>
-          <color>#a6e8c0</color>
-          <type>tag</type>
-          <attributes>
-          </attributes>
-        </label>
-        <label>
-          <name>type_2</name>
-          <color>#921bbf</color>
-          <type>tag</type>
-          <attributes>
-          </attributes>
-        </label>
-        <label>
-          <name>type_3</name>
-          <color>#f7b270</color>
-          <type>tag</type>
-          <attributes>
-          </attributes>
-        </label>
-        <label>
-          <name>type_4</name>
-          <color>#e23cc1</color>
-          <type>tag</type>
-          <attributes>
-          </attributes>
-        </label>
-        <label>
-          <name>type_5</name>
-          <color>#dfa6ae</color>
-          <type>tag</type>
-          <attributes>
-          </attributes>
-        </label>
-        <label>
-          <name>type_6</name>
-          <color>#a65eb4</color>
-          <type>tag</type>
-          <attributes>
-          </attributes>
-        </label>
-        <label>
-          <name>type_7</name>
-          <color>#16e2a4</color>
-          <type>tag</type>
-          <attributes>
-          </attributes>
-        </label>
-      </labels>
-    </task>
-    <dumped>2023-06-04 21:21:22.425876+00:00</dumped>
-  </meta>
-  <image id="0" name="images/eu.04a53e8d-0642-47ce-afed-0dce3d2e3b85.jpg" width="3120" height="4160">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="1" name="images/eu.12853114-0db0-472d-8e1d-8b6d6fa55a6e.jpg" width="3024" height="4032">
-    <tag label="type_5" source="manual">
-    </tag>
-  </image>
-  <image id="2" name="images/eu.1318656b-9b75-4e65-89e7-154aa2916ead.jpg" width="4080" height="1836">
-    <tag label="type_4" source="manual">
-    </tag>
-  </image>
-  <image id="3" name="images/eu.15cb7654-1f49-4f13-a500-8adb845e2284.jpg" width="3000" height="4000">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="4" name="images/eu.2377f98a-116a-496b-9274-441e9f41e2a7.jpg" width="1840" height="4000">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="5" name="images/eu.304b0061-3171-44e5-81cf-46660cf81ac9.jpg" width="3000" height="4000">
-    <tag label="type_3" source="manual">
-    </tag>
-  </image>
-  <image id="6" name="images/eu.4111e8fc-67a3-45d3-b58c-85d26d505902.jpg" width="1980" height="2640">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="7" name="images/eu.43b1f497-0c6e-4b66-9a04-3f2c46c643c3.jpg" width="3024" height="4032">
-    <tag label="type_6" source="manual">
-    </tag>
-  </image>
-  <image id="8" name="images/eu.474be754-9656-45e9-9827-4e159c43e7ec.jpg" width="3472" height="4624">
-    <tag label="type_5" source="manual">
-    </tag>
-  </image>
-  <image id="9" name="images/eu.47f46643-865c-448a-9cef-d4fb6b5e449c.jpg" width="3072" height="4096">
-    <tag label="type_4" source="manual">
-    </tag>
-  </image>
-  <image id="10" name="images/eu.4bd10bbd-4f5a-416c-9e90-5cec51286263.jpg" width="1616" height="3264">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="11" name="images/eu.5077c9d7-a510-4542-adf4-e7d01b018aa2.jpg" width="3000" height="4000">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="12" name="images/eu.517d6a91-8397-4b44-a798-16f49fcd27cd.jpg" width="3000" height="4000">
-    <tag label="type_5" source="manual">
-    </tag>
-  </image>
-  <image id="13" name="images/eu.5381a6d5-e0f5-46bc-a6fc-3c971b46c287.jpg" width="3880" height="5184">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="14" name="images/eu.53fe351a-e488-4b0f-9bcb-7709456b5bcb.jpg" width="3456" height="4608">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="15" name="images/eu.578daadb-caa8-4174-9ff6-4ebbcddfb052.jpg" width="2320" height="3088">
-    <tag label="type_4" source="manual">
-    </tag>
-  </image>
-  <image id="16" name="images/eu.5ae3325a-c319-4854-8a22-4d4a9963b333.jpg" width="4160" height="3120">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="17" name="images/eu.5b6f3f83-50aa-4683-8a0a-a73a3c1f9893.jpg" width="4624" height="2136">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="18" name="images/eu.5c83472f-bc98-4870-8901-65db88fed63a.jpg" width="3000" height="4000">
-    <tag label="type_4" source="manual">
-    </tag>
-  </image>
-  <image id="19" name="images/eu.5e72795f-8df1-4090-b07b-3540982ac3ea.jpg" width="2448" height="3264">
-    <tag label="type_4" source="manual">
-    </tag>
-  </image>
-  <image id="20" name="images/eu.63733eb1-8461-4a69-b378-2cb94e5d54df.jpg" width="3024" height="4032">
-    <tag label="type_3" source="manual">
-    </tag>
-  </image>
-  <image id="21" name="images/eu.6dfb8614-77bd-4e69-972e-a2f4e55c0ead.jpg" width="3024" height="4032">
-    <tag label="type_5" source="manual">
-    </tag>
-  </image>
-  <image id="22" name="images/eu.729c12a1-dacc-45a8-a321-096f5bfa7a55.jpg" width="3000" height="4000">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="23" name="images/eu.738dbc29-5bab-483c-b049-0c3c2af98ead.jpg" width="2448" height="3264">
-    <tag label="type_3" source="manual">
-    </tag>
-  </image>
-  <image id="24" name="images/eu.75e223df-b1e5-4ee0-8329-9ca2a61fdd0b.jpg" width="2472" height="3296">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="25" name="images/eu.76f3335b-6fda-4e2a-a332-650fde339ea2.jpg" width="3000" height="4000">
-    <tag label="type_3" source="manual">
-    </tag>
-  </image>
-  <image id="26" name="images/eu.7d913aa8-f4a2-418e-acfe-c3497062e75b.jpg" width="2736" height="3648">
-    <tag label="type_6" source="manual">
-    </tag>
-  </image>
-  <image id="27" name="images/eu.902da8c4-e34f-4fc8-8aa3-229f5dcd75fe.jpg" width="3472" height="4624">
-    <tag label="type_2" source="manual">
-    </tag>
-  </image>
-  <image id="28" name="images/eu.a2fae165-ba27-4d37-8832-54cf4ce16a64.jpg" width="3000" height="4000">
-    <tag label="type_5" source="manual">
-    </tag>
-  </image>
-  <image id="29" name="images/eu.a3fdadc5-2ae0-4f5d-968b-a72e98fa6052.jpg" width="2392" height="5184">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="30" name="images/eu.ab672995-8271-4a20-8dc6-93272e41d65f.jpg" width="3880" height="5184">
-    <tag label="type_3" source="manual">
-    </tag>
-  </image>
-  <image id="31" name="images/eu.aebd9c81-79a2-424b-ab2e-419af65adfcc.jpg" width="2472" height="3296">
-    <tag label="type_3" source="manual">
-    </tag>
-  </image>
-  <image id="32" name="images/eu.b297419e-9967-4674-984b-c00848cd4d38.jpg" width="3024" height="4032">
-    <tag label="type_4" source="manual">
-    </tag>
-  </image>
-  <image id="33" name="images/eu.c0ee855c-f906-43f6-81bf-360c3b72d9ed.jpg" width="3000" height="4000">
-    <tag label="type_6" source="manual">
-    </tag>
-  </image>
-  <image id="34" name="images/eu.c12cf322-a996-47f0-a65e-95e6c632d568.jpg" width="2320" height="3088">
-    <tag label="type_6" source="manual">
-    </tag>
-  </image>
-  <image id="35" name="images/eu.ce122d94-ebfa-44de-952f-e25f024f45e3.jpg" width="4000" height="3000">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="36" name="images/eu.eac2f17c-d6ef-4e6f-9486-01dbf5012f10.jpg" width="4032" height="3024">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="37" name="images/eu.f5ffb876-0454-4c8f-9515-2a87110fd635.jpg" width="2448" height="3264">
-    <tag label="type_6" source="manual">
-    </tag>
-  </image>
-  <image id="38" name="images/eu.f673d1c2-9580-49a9-9c35-45d8278c5fc2.jpg" width="3120" height="4160">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="39" name="images/eu.f6abef78-e03d-43d3-a4b9-64594ac83496.jpg" width="1932" height="2576">
-    <tag label="type_5" source="manual">
-    </tag>
-  </image>
-  <image id="40" name="images/eu.f7beccef-60d5-4f3a-b913-eaea5d40f466.jpg" width="3880" height="5184">
-    <tag label="type_7" source="manual">
-    </tag>
-  </image>
-  <image id="41" name="images/eu.fd8a0281-72d0-4c31-866a-1b41e03c244e.jpg" width="3120" height="4160">
-    <tag label="type_4" source="manual">
-    </tag>
-  </image>
-</annotations>
-
-

bald_classification.py

@@ -0,0 +1,72 @@
+import datasets
+import pandas as pd
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {bald_classification},
+author = {TrainingDataPro},
+year = {2023}
+}
+"""
+
+_DESCRIPTION = """\
+Dataset consists of 5000 photos of people with 7 stages of hairloss according
+to the Norwood scale. Dataset is useful for training neural networks for the
+recommendation systems, optimizing the work processes of trichologists and
+applications in the Med / Beauty spheres. 
+"""
+_NAME = 'bald_classification'
+
+_HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"
+
+_LICENSE = ""
+
+_DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"
+
+
+class BaldClassification(datasets.GeneratorBasedBuilder):
+    """Small sample of image-text pairs"""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                'image_id': datasets.Value('int32'),
+                'image': datasets.Image(),
+                'annotations': datasets.Value('string')
+            }),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        images = dl_manager.download(f"{_DATA}images.tar.gz")
+        annotations = dl_manager.download(f"{_DATA}{_NAME}.csv")
+        images = dl_manager.iter_archive(images)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN,
+                                    gen_kwargs={
+                                        "images": images,
+                                        'annotations': annotations
+                                    }),
+        ]
+
+    def _generate_examples(self, images, annotations):
+        annotations_df = pd.read_csv(annotations)
+
+        for idx, (image_path, image) in enumerate(images):
+            yield idx, {
+                'image_id':
+                    annotations_df.loc[
+                        annotations_df['image_name'] == image_path]
+                    ['image_id'].values[0],
+                "image": {
+                    "path": image_path,
+                    "bytes": image.read()
+                },
+                'annotations':
+                    annotations_df.loc[
+                        annotations_df['image_name'] == image_path]
+                    ['annotations'].values[0]
+            }

bald_people.csv

@@ -1,43 +0,0 @@
-;images;type
-0;images/eu.04a53e8d-0642-47ce-afed-0dce3d2e3b85.jpg;type_7
-1;images/eu.12853114-0db0-472d-8e1d-8b6d6fa55a6e.jpg;type_5
-2;images/eu.1318656b-9b75-4e65-89e7-154aa2916ead.jpg;type_4
-3;images/eu.15cb7654-1f49-4f13-a500-8adb845e2284.jpg;type_7
-4;images/eu.2377f98a-116a-496b-9274-441e9f41e2a7.jpg;type_7
-5;images/eu.304b0061-3171-44e5-81cf-46660cf81ac9.jpg;type_3
-6;images/eu.4111e8fc-67a3-45d3-b58c-85d26d505902.jpg;type_7
-7;images/eu.43b1f497-0c6e-4b66-9a04-3f2c46c643c3.jpg;type_6
-8;images/eu.474be754-9656-45e9-9827-4e159c43e7ec.jpg;type_5
-9;images/eu.47f46643-865c-448a-9cef-d4fb6b5e449c.jpg;type_4
-10;images/eu.4bd10bbd-4f5a-416c-9e90-5cec51286263.jpg;type_7
-11;images/eu.5077c9d7-a510-4542-adf4-e7d01b018aa2.jpg;type_7
-12;images/eu.517d6a91-8397-4b44-a798-16f49fcd27cd.jpg;type_5
-13;images/eu.5381a6d5-e0f5-46bc-a6fc-3c971b46c287.jpg;type_7
-14;images/eu.53fe351a-e488-4b0f-9bcb-7709456b5bcb.jpg;type_7
-15;images/eu.578daadb-caa8-4174-9ff6-4ebbcddfb052.jpg;type_4
-16;images/eu.5ae3325a-c319-4854-8a22-4d4a9963b333.jpg;type_7
-17;images/eu.5b6f3f83-50aa-4683-8a0a-a73a3c1f9893.jpg;type_7
-18;images/eu.5c83472f-bc98-4870-8901-65db88fed63a.jpg;type_4
-19;images/eu.5e72795f-8df1-4090-b07b-3540982ac3ea.jpg;type_4
-20;images/eu.63733eb1-8461-4a69-b378-2cb94e5d54df.jpg;type_3
-21;images/eu.6dfb8614-77bd-4e69-972e-a2f4e55c0ead.jpg;type_5
-22;images/eu.729c12a1-dacc-45a8-a321-096f5bfa7a55.jpg;type_7
-23;images/eu.738dbc29-5bab-483c-b049-0c3c2af98ead.jpg;type_3
-24;images/eu.75e223df-b1e5-4ee0-8329-9ca2a61fdd0b.jpg;type_7
-25;images/eu.76f3335b-6fda-4e2a-a332-650fde339ea2.jpg;type_3
-26;images/eu.7d913aa8-f4a2-418e-acfe-c3497062e75b.jpg;type_6
-27;images/eu.902da8c4-e34f-4fc8-8aa3-229f5dcd75fe.jpg;type_2
-28;images/eu.a2fae165-ba27-4d37-8832-54cf4ce16a64.jpg;type_5
-29;images/eu.a3fdadc5-2ae0-4f5d-968b-a72e98fa6052.jpg;type_7
-30;images/eu.ab672995-8271-4a20-8dc6-93272e41d65f.jpg;type_3
-31;images/eu.aebd9c81-79a2-424b-ab2e-419af65adfcc.jpg;type_3
-32;images/eu.b297419e-9967-4674-984b-c00848cd4d38.jpg;type_4
-33;images/eu.c0ee855c-f906-43f6-81bf-360c3b72d9ed.jpg;type_6
-34;images/eu.c12cf322-a996-47f0-a65e-95e6c632d568.jpg;type_6
-35;images/eu.ce122d94-ebfa-44de-952f-e25f024f45e3.jpg;type_7
-36;images/eu.eac2f17c-d6ef-4e6f-9486-01dbf5012f10.jpg;type_7
-37;images/eu.f5ffb876-0454-4c8f-9515-2a87110fd635.jpg;type_6
-38;images/eu.f673d1c2-9580-49a9-9c35-45d8278c5fc2.jpg;type_7
-39;images/eu.f6abef78-e03d-43d3-a4b9-64594ac83496.jpg;type_5
-40;images/eu.f7beccef-60d5-4f3a-b913-eaea5d40f466.jpg;type_7
-41;images/eu.fd8a0281-72d0-4c31-866a-1b41e03c244e.jpg;type_4

data/bald_classification.csv

@@ -0,0 +1,43 @@
+image_id,image_name,annotations
+0,eu.04a53e8d-0642-47ce-afed-0dce3d2e3b85.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+1,eu.12853114-0db0-472d-8e1d-8b6d6fa55a6e.jpg,"[{'type': 'tag', 'label': 'type_5'}]"
+2,eu.1318656b-9b75-4e65-89e7-154aa2916ead.jpg,"[{'type': 'tag', 'label': 'type_4'}]"
+3,eu.15cb7654-1f49-4f13-a500-8adb845e2284.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+4,eu.2377f98a-116a-496b-9274-441e9f41e2a7.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+5,eu.304b0061-3171-44e5-81cf-46660cf81ac9.jpg,"[{'type': 'tag', 'label': 'type_3'}]"
+6,eu.4111e8fc-67a3-45d3-b58c-85d26d505902.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+7,eu.43b1f497-0c6e-4b66-9a04-3f2c46c643c3.jpg,"[{'type': 'tag', 'label': 'type_6'}]"
+8,eu.474be754-9656-45e9-9827-4e159c43e7ec.jpg,"[{'type': 'tag', 'label': 'type_5'}]"
+9,eu.47f46643-865c-448a-9cef-d4fb6b5e449c.jpg,"[{'type': 'tag', 'label': 'type_4'}]"
+10,eu.4bd10bbd-4f5a-416c-9e90-5cec51286263.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+11,eu.5077c9d7-a510-4542-adf4-e7d01b018aa2.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+12,eu.517d6a91-8397-4b44-a798-16f49fcd27cd.jpg,"[{'type': 'tag', 'label': 'type_5'}]"
+13,eu.5381a6d5-e0f5-46bc-a6fc-3c971b46c287.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+14,eu.53fe351a-e488-4b0f-9bcb-7709456b5bcb.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+15,eu.578daadb-caa8-4174-9ff6-4ebbcddfb052.jpg,"[{'type': 'tag', 'label': 'type_4'}]"
+16,eu.5ae3325a-c319-4854-8a22-4d4a9963b333.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+17,eu.5b6f3f83-50aa-4683-8a0a-a73a3c1f9893.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+18,eu.5c83472f-bc98-4870-8901-65db88fed63a.jpg,"[{'type': 'tag', 'label': 'type_4'}]"
+19,eu.5e72795f-8df1-4090-b07b-3540982ac3ea.jpg,"[{'type': 'tag', 'label': 'type_4'}]"
+20,eu.63733eb1-8461-4a69-b378-2cb94e5d54df.jpg,"[{'type': 'tag', 'label': 'type_3'}]"
+21,eu.6dfb8614-77bd-4e69-972e-a2f4e55c0ead.jpg,"[{'type': 'tag', 'label': 'type_5'}]"
+22,eu.729c12a1-dacc-45a8-a321-096f5bfa7a55.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+23,eu.738dbc29-5bab-483c-b049-0c3c2af98ead.jpg,"[{'type': 'tag', 'label': 'type_3'}]"
+24,eu.75e223df-b1e5-4ee0-8329-9ca2a61fdd0b.jpg,"[{'type': 'tag', 'label': 'type_7'}]"
+25,eu.76f3335b-6fda-4e2a-a332-650fde339ea2.jpg,"[{'type': 'tag', 'label': 'type_3'}]"
+26,eu.7d913aa8-f4a2-418e-acfe-c3497062e75b.jpg,"[{'type': 'tag', 'label': 'type_6'}]"
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images/eu.1318656b-9b75-4e65-89e7-154aa2916ead.jpg → data/images.tar.gz

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