Dataset Versions

v1

2024-07-24 12:10pm

Generated on Jul 24, 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%
1155Images
Valid Set 8%
110Images
Test Set 4%
55Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 1920x1080

Augmentations

Outputs per training example: 3
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%

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