Dataset Versions
Versions
2024-06-21 11:15pm
v34
· 5 months ago
2024-06-20 9:29am
v33
· 5 months ago
2024-06-20 9:29am
v32
· 5 months ago
2024-06-20 9:29am
v31
· 5 months ago
2024-06-20 9:29am
v30
· 5 months ago
2024-06-20 9:29am
v29
· 5 months ago
2024-06-20 9:28am
v28
· 5 months ago
2024-06-20 9:28am
v27
· 5 months ago
2024-06-20 9:28am
v26
· 5 months ago
2024-06-20 9:28am
v25
· 5 months ago
2024-06-20 9:27am
v24
· 5 months ago
2024-06-20 9:27am
v23
· 5 months ago
2024-06-20 9:27am
v22
· 5 months ago
2024-06-06 8:23pm
v1
· 6 months ago
v1
2024-06-06 8:23pm
Generated on Jun 6, 2024
360 Total Images
View All Images
Dataset Split
Train Set 88%
315Images
Valid Set 8%
30Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.37% of pixels