Dataset Versions
Versions
2024-01-11 8:42am
v9
· 10 months ago
2024-01-09 8:50am
v8
· 10 months ago
2023-11-13 9:30am
v7
· a year ago
2023-10-27 9:36am
v6
· a year ago
2023-10-24 2:56pm
v5
· a year ago
2023-10-05 12:49pm
v4
· a year ago
2023-07-19 2:25pm
v3
· a year ago
2023-07-13 12:04pm
v2
· a year ago
2023-07-13 12:01pm
v1
· a year ago
v6
2023-10-27 9:36am
Generated on Oct 27, 2023
3855 Total Images
View All Images
Dataset Split
Train Set 94%
3619Images
Valid Set 4%
143Images
Test Set 2%
93Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require at least 20% of images to contain annotations.
Augmentations
Outputs per training example: 5
Flip: Horizontal
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%