Dataset Versions

v30

2024-04-12 1:21pm

Generated on Apr 12, 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 81%
4082Images
Valid Set 17%
867Images
Test Set 2%
92Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Hue: Between -6° and +6°
Saturation: Between -23% and +23%
Brightness: Between -19% and +19%
Exposure: Between -9% and +9%

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