Dataset Versions
Versions
TEST4399_v1
v36
· 2 months ago
TEST4399_600_32_v7
v31
· 2 months ago
2024-09-09 3:11am
v29
· 2 months ago
TEST4399_600_32_v5
v26
· 2 months ago
TEST4399_600_32_v4
v25
· 2 months ago
TEST4399_600_32_v3
v21
· 2 months ago
TEST4399_600_32_v2
v20
· 2 months ago
TEST4399_600_32_v1
v13
· 3 months ago
2024-08-09 9:13pm
v11
· 3 months ago
epoch600
v9
· 3 months ago
epoch300
v6
· 3 months ago
2024-08-06 11:39am
v3
· 3 months ago
2024-08-03 2:21am
v2
· 3 months ago
2024-07-26 9:02am
v1
· 3 months ago
v21
TEST4399_600_32_v3
Generated on Aug 29, 2024
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4399 Total Images
View All Images
Dataset Split
Train Set 87%
3849Images
Valid Set 8%
373Images
Test Set 4%
177Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.65% of pixels