Dataset Versions
Versions
2023-10-30 3:18pm
v23
· a year ago
2023-09-13 1:11am
v22
· a year ago
2023-08-15 9:27pm
v21
· a year ago
2023-05-15 8:53am
v20
· 2 years ago
2023-05-01 12:09am
v19
· 2 years ago
2023-03-12 11:53am
v17
· 2 years ago
2023-02-24 8:34am
v16
· 2 years ago
2023-02-24 8:31am
v15
· 2 years ago
2023-02-23 10:56pm
v14
· 2 years ago
2023-02-23 10:54pm
v13
· 2 years ago
2023-02-23 10:50pm
v12
· 2 years ago
2023-02-23 9:23pm
v11
· 2 years ago
2023-02-23 3:49pm
v10
· 2 years ago
2023-02-18 11:43am
v9
· 2 years ago
2023-02-10 11:53am
v6
· 2 years ago
v20
2023-05-15 8:53am
Generated on May 15, 2023
16681 Total Images
View All Images
Dataset Split
Train Set 78%
13092Images
Valid Set 12%
2060Images
Test Set 9%
1529Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 8 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Grayscale: Apply to 11% of images
Brightness: Between -25% and +25%
Blur: Up to 3.75px
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels