refactor: rename script and csv
Browse files
data/{hair-detection-and-segmentation-dataset.csv → hair-detection-and-segmentation.csv}
RENAMED
File without changes
|
hair-detection-and-segmentation-dataset.py → hair-detection-and-segmentation.py
RENAMED
@@ -3,7 +3,7 @@ import pandas as pd
|
|
3 |
|
4 |
_CITATION = """\
|
5 |
@InProceedings{huggingface:dataset,
|
6 |
-
title = {hair-detection-and-segmentation
|
7 |
author = {TrainingDataPro},
|
8 |
year = {2023}
|
9 |
}
|
@@ -21,7 +21,7 @@ This dataset can be leveraged for a range of applications such as parking lot
|
|
21 |
management, autonomous vehicle navigation, smart city implementations, and traffic
|
22 |
analysis.
|
23 |
"""
|
24 |
-
_NAME = "hair-detection-and-segmentation
|
25 |
|
26 |
_HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"
|
27 |
|
@@ -30,7 +30,7 @@ _LICENSE = ""
|
|
30 |
_DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"
|
31 |
|
32 |
|
33 |
-
class
|
34 |
def _info(self):
|
35 |
return datasets.DatasetInfo(
|
36 |
description=_DESCRIPTION,
|
|
|
3 |
|
4 |
_CITATION = """\
|
5 |
@InProceedings{huggingface:dataset,
|
6 |
+
title = {hair-detection-and-segmentation},
|
7 |
author = {TrainingDataPro},
|
8 |
year = {2023}
|
9 |
}
|
|
|
21 |
management, autonomous vehicle navigation, smart city implementations, and traffic
|
22 |
analysis.
|
23 |
"""
|
24 |
+
_NAME = "hair-detection-and-segmentation"
|
25 |
|
26 |
_HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"
|
27 |
|
|
|
30 |
_DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"
|
31 |
|
32 |
|
33 |
+
class HairDetectionAndSegmentation(datasets.GeneratorBasedBuilder):
|
34 |
def _info(self):
|
35 |
return datasets.DatasetInfo(
|
36 |
description=_DESCRIPTION,
|