Dataset Versions

v2

2023-06-20 2:38pm

Generated on Jun 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.
Other Formats
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Dataset Split

Train Set 88%
102Images
Valid Set 8%
9Images
Test Set 4%
5Images

Preprocessing

Auto-Orient: Applied
Static Crop: 28-74% Horizontal Region, 10-71% Vertical Region
Resize: Stretch to 960x960
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Brightness: Between -20% and +20%

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