Dataset Versions

v5

2024-10-15 5:13pm

Generated on Oct 15, 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.
Other Formats
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Dataset Split

Train Set 90%
4350Images
Valid Set 5%
246Images
Test Set 5%
232Images

Preprocessing

Resize: Fill (with center crop) in 1024x1024

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%