Dataset Versions
Versions
2024-12-09 1:09am
v24
· 14 days ago
2024-12-08 2:51pm
v23
· 15 days ago
2024-12-06 6:16pm
v22
· 16 days ago
2024-12-06 5:24pm
v21
· 16 days ago
2024-09-23 12:44pm
v20
· 3 months ago
2024-09-21 4:08pm
v19
· 3 months ago
2024-09-21 11:24am
v18
· 3 months ago
2024-09-21 6:12am
v17
· 3 months ago
2024-09-20 9:27pm
v16
· 3 months ago
2024-09-16 9:25pm
v15
· 3 months ago
2024-09-16 12:34pm
v14
· 3 months ago
2024-09-16 10:43am
v13
· 3 months ago
2024-09-16 9:13am
v12
· 3 months ago
2024-09-15 8:39pm
v11
· 3 months ago
2024-09-15 8:14pm
v10
· 3 months ago
2024-09-15 5:28pm
v9
· 3 months ago
2024-09-14 3:32pm
v8
· 3 months ago
2024-09-14 2:14pm
v7
· 3 months ago
2024-09-14 12:36pm
v6
· 3 months ago
2024-09-14 7:24am
v5
· 3 months ago
some transf
v4
· 3 months ago
no transf
v3
· 3 months ago
less transformations
v2
· 3 months ago
2024-09-13 4:29pm
v1
· 3 months ago
v8
2024-09-14 3:32pm
Generated on Sep 14, 2024
1168 Total Images
View All ImagesDataset Split
Train Set 88%
1023Images
Valid Set 8%
95Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 70% of images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 5% of images
Hue: Between -24° and +24°
Noise: Up to 1.84% of pixels