Face Detection Image Dataset

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Versions
YOLOv5s
v21
Feb 2, 2023
raw-images_resized640
v20
Jan 18, 2023
YOLOv8
v18
Jan 10, 2023
v2-resize640_augmented3x
v15
Nov 18, 2022
resize640_augmented3x
v14
Nov 17, 2022
v2-roboflow-FAST-model
v13
Oct 13, 2022
2022-10-08 1:48pm
v12
Oct 8, 2022
raw-images_Updated
v9
Mar 28, 2022
roboflow-FAST-model
v7
Mar 21, 2022
resize_whiteEdges-v2
v5
Dec 22, 2021
resize_whiteEdges-augmented
v4
Dec 21, 2021
augmented-v2
v3
Dec 21, 2021
augmented-images-v1
v2
Dec 14, 2021
raw-images
v1
Dec 14, 2021

YOLOv8

Version 18
Generated Jan 10, 2023

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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Images

3283 images
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Train / Test Split

Training Set

87
2.9k
images

Validation Set

8
267
images

Testing Set

4
145
images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 5% of images
Hue: Between -20° and +20°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Cutout: 5 boxes with 2% size each
Details
Version Name: YOLOv8
Version ID: 18
Generated: Jan 10, 2023
Annotation Group: faces