Dataset Versions

v8

combined_ds_1

Generated on May 10, 2022

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 94%
2568Images
Valid Set 5%
127Images
Test Set 2%
47Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 520x520

Augmentations

Outputs per training example: 6
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -20° and +20°
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%

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