Dataset Versions
Versions
raw-images-scoreboardClassesOnly-noNulls
v22
· 2 years ago
raw-images-scoreboardClassesOnly-withNullImages
v21
· 2 years ago
resize640-aug10x-scoreboardClassesOnly
v20
· 2 years ago
YOLOv8n
v16
· 2 years ago
v3-resized640_allClasses-aug10x-FAST
v13
· 2 years ago
v3-resized640_allClasses-aug5x-FAST
v12
· 2 years ago
v2-resized640_allClasses-aug10x-FAST
v8
· 2 years ago
v1-resized640_allClasses-aug10x-FAST
v2
· 2 years ago
original_raw-images
v1
· 2 years ago
v12
v3-resized640_allClasses-aug5x-FAST
Generated on Dec 18, 2022
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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539 Total Images
View All Images
Dataset Split
Train Set 91%
490Images
Valid Set 5%
28Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Cutout: 5 boxes with 2% size each