Dataset Versions

v2

2024-07-26 2:35am

Generated on Jul 26, 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.
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Dataset Split

Train Set 88%
1032Images
Valid Set 8%
97Images
Test Set 4%
49Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -10° and +10°
Brightness: Between -25% and +25%
Blur: Up to 4.8px
Noise: Up to 0.46% of pixels
Bounding Box: Rotation: Between -9° and +9°

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