Dataset Versions

v8

Data8

Generated on Jun 21, 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%
840Images
Valid Set 8%
80Images
Test Set 4%
40Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -4° and +4°
Hue: Between -6° and +6°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%

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