Dataset Versions

v5

Second Version

Generated on Apr 28, 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 88%
630Images
Valid Set 8%
60Images
Test Set 4%
29Images

Preprocessing

Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 5% of pixels

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