Dataset Versions
Versions
2024-05-15 1:21pm
v14
· 6 months ago
2024-05-15 1:17pm
v13
· 6 months ago
2024-05-02 10:53am
v12
· 7 months ago
2024-05-02 9:55am
v11
· 7 months ago
2024-04-29 2:30pm
v10
· 7 months ago
2024-04-29 1:11am
v9
· 7 months ago
2024-04-26 4:46pm
v8
· 7 months ago
2024-04-25 10:50am
v7
· 7 months ago
2024-04-25 10:47am
v6
· 7 months ago
2024-04-24 3:37pm
v5
· 7 months ago
2024-04-24 3:08pm
v4
· 7 months ago
2024-04-24 1:31pm
v3
· 7 months ago
2024-04-24 11:38am
v2
· 7 months ago
2024-04-23 3:28pm
v1
· 7 months ago
v9
2024-04-29 1:11am
Generated on Apr 28, 2024
1122 Total Images
View All Images
Dataset Split
Train Set 94%
1053Images
Valid Set 4%
45Images
Test Set 2%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -11% and +11%
Noise: Up to 0.04% of pixels
Mosaic: Applied