Dataset Versions
Versions
2023-12-03 9:36pm
v27
· a year ago
2023-12-03 3:06pm
v24
· a year ago
30 epochs fliphori-rotate90-brightness-20-blur2px-noise5-cutout5 10-mosaic
v23
· a year ago
30 epochs fliphori-rotate90-brightness-20-blur2px-noise5-cutout5 10-mosaic
v22
· a year ago
30 epochs roate90 - brightness20 - blur2.5 - noise10 - cutout4 15 - mosaic
v21
· a year ago
50 epochs rotate90-brightness -20- blur2.5- noise10- cutout4 15- mosaic
v20
· a year ago
same as 15 but no mosaic 35 epochs
v19
· a year ago
v24
2023-12-03 3:06pm
Generated on Dec 3, 2023
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12900 Total Images
View All Images
Dataset Split
Train Set 88%
11289Images
Valid Set 8%
1074Images
Test Set 4%
537Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -30° and +30°
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each
Mosaic: Applied