Dataset Versions

v2

2024-09-09 12:20am

Generated on Sep 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 95%
270Images
Valid Set 4%
11Images
Test Set 1%
4Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-66% Horizontal Region, 25-65% Vertical Region
Resize: Stretch to 640x640
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -65% and +65%
Brightness: Between -19% and +19%

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