Dataset Versions
Versions
2024-04-09 10:15pm
v26
· 8 months ago
2024-01-29 5:18pm
v25
· a year ago
update-class-with-aug-320-v2
v24
· a year ago
with-aug-320-v2
v23
· a year ago
No-aug-416
v16
· a year ago
with-aug-416
v15
· a year ago
with-aug-320-v1
v14
· a year ago
No-aug-320
v10
· a year ago
2023-11-15 10:18am
v5
· a year ago
2023-11-15 10:02am
v4
· a year ago
2023-10-18 11:27pm
v2
· a year ago
2023-10-18 10:59pm
v1
· a year ago
v25
2024-01-29 5:18pm
Generated on Jan 29, 2024
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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1622 Total Images
View All Images
Dataset Split
Train Set 85%
1386Images
Valid Set 10%
167Images
Test Set 4%
69Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 320x320
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -12° and +12°
Saturation: Between -20% and +20%
Brightness: Between -12% and +12%
Exposure: Between -6% and +6%
Blur: Up to 0.7px
Noise: Up to 1.03% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -12% and +12%
Bounding Box: Exposure: Between -6% and +6%
Bounding Box: Blur: Up to 0.7px
Bounding Box: Noise: Up to 1.01% of pixels