Dataset Versions

v4

2023-09-14 2:32am

Generated on Sep 13, 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 86%
447Images
Valid Set 10%
51Images
Test Set 4%
21Images

Preprocessing

Isolate Objects: Applied
Static Crop: 25-77% Horizontal Region, 5-95% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Brightness: Between -9% and +9%
Blur: Up to 2.5px

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