Datasets:
Tasks:
Image Classification
Formats:
csv
Languages:
English
Size:
100K - 1M
Tags:
computer-vision
affective-computing
facial-landmarks
mediapipe
emotion-recognition
feature-extraction
DOI:
License:
Update README.md
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README.md
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@@ -80,7 +80,7 @@ The features were extracted using the **MediaPipe Face Landmarker** model.
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1. **Frame Extraction:** Each video file was processed frame-by-frame.
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2. **Landmark Detection:** For each frame, the 478 facial landmarks were detected.
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3. **Normalization:** All coordinates (
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1. **Frame Extraction:** Each video file was processed frame-by-frame.
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2. **Landmark Detection:** For each frame, the 478 facial landmarks were detected.
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3. **Normalization:** All coordinates (x, y, z) are normalized to the range [0.0, 1.0] relative to the bounding box of the face or the original frame dimensions.
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