Dataset Versions

v1

2024-06-24 6:06am

Generated on Jun 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 87%
213Images
Valid Set 9%
21Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 92% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.17% of pixels

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