Datasets:
fix: csv sep docs: readme
Browse files- README.md +22 -0
- high_quality_webcam_video_attacks.py +1 -1
README.md
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@@ -8,6 +8,28 @@ tags:
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- finance
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- legal
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- code
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---
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# High Definition Live Attacks
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The dataset includes live-recorded Anti-Spoofing videos from around the world, captured via **high-quality** webcams with Full HD resolution and above.
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- finance
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- legal
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- code
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dataset_info:
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features:
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- name: video_file
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dtype: string
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- name: assignment_id
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dtype: string
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- name: worker_id
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dtype: string
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- name: gender
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dtype: string
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- name: age
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dtype: uint8
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- name: country
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dtype: string
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- name: resolution
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dtype: string
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splits:
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- name: train
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num_bytes: 1547
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num_examples: 10
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download_size: 623356178
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dataset_size: 1547
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---
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# High Definition Live Attacks
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The dataset includes live-recorded Anti-Spoofing videos from around the world, captured via **high-quality** webcams with Full HD resolution and above.
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high_quality_webcam_video_attacks.py
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@@ -55,7 +55,7 @@ class HighQualityWebcamVideoAttacks(datasets.GeneratorBasedBuilder):
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]
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def _generate_examples(self, videos, annotations):
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annotations_df = pd.read_csv(annotations, sep='
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for idx, (image_path, video) in enumerate(videos):
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file_name = image_path.split('/')[-1]
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assignment_id = file_name.split('.')[0]
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]
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def _generate_examples(self, videos, annotations):
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annotations_df = pd.read_csv(annotations, sep=';')
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for idx, (image_path, video) in enumerate(videos):
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file_name = image_path.split('/')[-1]
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assignment_id = file_name.split('.')[0]
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