Dataset Versions

v1

2023-11-21 9:04pm

Generated on Nov 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%
1008Images
Valid Set 8%
96Images
Test Set 4%
48Images

Preprocessing

Resize: Stretch to 720x480

Augmentations

Outputs per training example: 3
Rotation: Between -12° and +12°
Saturation: Between -35% and +35%
Exposure: Between -19% and +19%
Noise: Up to 2% of pixels

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