Dataset Versions
Versions
raw-histogram-grayscale-augmentation1235
v28
· a year ago
raw-histogram-augmentation1235
v27
· a year ago
raw-contrast-grayscale-augmentation1235
v26
· a year ago
raw-contrast-augmentation1235
v25
· a year ago
raw-grayscale-augmentation_1235
v23
· a year ago
raw-adaptive-grayscale-augmentation-1235
v22
· a year ago
raw-adaptive-augmentation-1235
v21
· a year ago
raw-data-augmented-1235
v20
· a year ago
raw_data_tf_record
v19
· a year ago
raw_data-augmentated
v18
· a year ago
2023-09-11 3:59pm
v16
· a year ago
contrast_stretching-grayscale
v15
· a year ago
contrast_stretching
v14
· a year ago
histogram_equalization-grayscale
v13
· a year ago
histogram_equalization
v12
· a year ago
adaptive_equalization-grayscale
v11
· a year ago
adaptive_equalization
v10
· a year ago
raw_data-grayscale
v9
· a year ago
raw_data
v1
· a year ago
v26
raw-contrast-grayscale-augmentation1235
Generated on Nov 12, 2023
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1235 Total Images
View All Images
Dataset Split
Train Set 87%
1080Images
Valid Set 8%
104Images
Test Set 4%
51Images
Preprocessing
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -25° and +25°
Grayscale: Apply to 25% of images
Brightness: Between 0% and +25%
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%