Dataset Versions

v4

2024-05-03 7:23pm

Generated on May 3, 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 87%
2041Images
Valid Set 9%
200Images
Test Set 4%
98Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±13° Vertical
Hue: Between -17° and +17°
Brightness: Between -17% and +17%
Exposure: Between -15% and +15%

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