Dataset Versions
Versions
BT_3kSynth-300Real_noAug_book-person_v2
v10
· 2 years ago
BT_3kSynth-300Real_noAug_book-person
v9
· 2 years ago
8k_augmented_2022-08-28 9-14pm
v7
· 2 years ago
Augmented_PersonLabeled_2022-08-28 9-07pm
v6
· 2 years ago
2022-08-28 5:48pm
v5
· 2 years ago
2022-08-28 5:43pm
v4
· 2 years ago
2022-08-28 8:55am
v3
· 2 years ago
2022-08-28 8:19am
v2
· 2 years ago
2022-08-27 10:15pm
v1
· 2 years ago
v7
8k_augmented_2022-08-28 9-14pm
Generated on Aug 28, 2022
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8066 Total Images
View All Images
Dataset Split
Train Set 87%
7026Images
Valid Set 8%
669Images
Test Set 5%
371Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x480
Modify Classes: 1 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 43% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -44% and +44%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 6px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 12% size each
Mosaic: Applied