Dataset Versions

v2

2023-04-20 2:10pm

Generated on Apr 20, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 87%
9900Images
Valid Set 8%
925Images
Test Set 5%
600Images

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 Adaptive Equalization
Grayscale: Applied
Tile: 5 rows x 5 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -29° and +29°
Saturation: Between -35% and +35%
Brightness: Between -25% and +25%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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