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Datasets:
TrainingDataPro
/
face_masks

Tasks:
Image Segmentation
Languages: English
Tags: finance code
License: cc-by-nc-nd-4.0
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    AttributeError
Message:      'float' object has no attribute 'read'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/PIL/Image.py", line 3240, in open
                  fp.seek(0)
              AttributeError: 'float' object has no attribute 'seek'
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 264, in get_rows_or_raise
                  return get_rows(
                File "/src/services/worker/src/worker/utils.py", line 205, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 242, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1379, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 233, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/tmp/modules-cache/datasets_modules/datasets/TrainingDataPro--face_masks/13123688ca313c0e2ba93fbe53b988387a8c30dc994c1f220a039ce5adb2524c/face_masks.py", line 136, in _generate_examples
                  data = {
                File "/tmp/modules-cache/datasets_modules/datasets/TrainingDataPro--face_masks/13123688ca313c0e2ba93fbe53b988387a8c30dc994c1f220a039ce5adb2524c/face_masks.py", line 137, in <dictcomp>
                  f'photo_{row[5]}': load_image_file(row[7])
                File "/tmp/modules-cache/datasets_modules/datasets/TrainingDataPro--face_masks/13123688ca313c0e2ba93fbe53b988387a8c30dc994c1f220a039ce5adb2524c/face_masks.py", line 74, in load_image_file
                  img = PIL.Image.open(file)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/PIL/Image.py", line 3242, in open
                  fp = io.BytesIO(fp.read())
              AttributeError: 'float' object has no attribute 'read'

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Face Mask Detection

Dataset includes 250 000 images, 4 types of mask worn on 28 000 unique faces. All images were collected using the Toloka.ai crowdsourcing service and validated by TrainingData.pro

Get the dataset

This is just an example of the data

Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.

File with the extension .csv

includes the following information for each media file:

  • WorkerId: the identifier of the person who provided the media file,
  • Country: the country of origin of the person,
  • Age: the age of the person,
  • Sex: the gender of the person,
  • Type: the type of media file
  • Link: the URL to access the media file

Folder "img" with media files

  • containg all the photos which correspond to the data in the .csv file

How it works: go to the first folder and you will make sure that it contains media files taken by a person whose parameters are specified in the first 4 lines of the .csv file.

**TrainingData**

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets

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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
341 MB
Number of rows:
10