Dataset Versions

v10

RC2023 V1

Generated on Jun 13, 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 75%
2793Images
Valid Set 15%
562Images
Test Set 10%
378Images

Preprocessing

Resize: Fit within 600x600
Modify Classes: 0 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Hue: Between -59° and +59°
Saturation: Between -30% and +30%
Brightness: Between -16% and +16%
Exposure: Between -17% and +17%

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