Dataset Versions
Versions
2023-04-21 10:19pm
v24
· 2 years ago
2023-04-21 4:47pm
v23
· 2 years ago
2023-04-20 3:38pm
v22
· 2 years ago
2023-04-20 3:11pm
v21
· 2 years ago
2023-04-20 6:43am
v20
· 2 years ago
2023-04-19 2:59pm
v19
· 2 years ago
2023-04-19 10:09am
v18
· 2 years ago
2023-04-08 11:54pm
v17
· 2 years ago
2023-04-08 1:56am
v16
· 2 years ago
2023-04-06 8:29pm
v15
· 2 years ago
2023-04-06 11:59am
v14
· 2 years ago
2023-04-06 10:13am
v13
· 2 years ago
2023-04-04 3:15pm
v12
· 2 years ago
2023-04-04 1:55pm
v11
· 2 years ago
2023-04-03 9:50am
v10
· 2 years ago
2023-03-29 11:48pm
v8
· 2 years ago
2023-03-29 4:14pm
v7
· 2 years ago
2023-03-29 9:38am
v6
· 2 years ago
2023-03-29 8:28am
v5
· 2 years ago
2023-03-29 12:34am
v3
· 2 years ago
2023-03-24 8:23am
v2
· 2 years ago
2023-03-24 2:06am
v1
· 2 years ago
v10
2023-04-03 9:50am
Generated on Apr 3, 2023
591 Total Images
View All Images
Dataset Split
Train Set 87%
516Images
Valid Set 8%
49Images
Test Set 4%
26Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 20% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Noise: Up to 2% of pixels
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