Dataset Versions

v3

2024-05-09 10:46pm

Generated on May 9, 2024

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 88%
546Images
Valid Set 8%
52Images
Test Set 4%
26Images

Preprocessing

Static Crop: 14-90% Horizontal Region, 15-86% Vertical Region

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Brightness: Between -24% and +24%
Exposure: Between -12% and +12%

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