Dataset Versions

v7

2024-09-23 3:50pm

Generated on Sep 23, 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%
15372Images
Valid Set 6%
1147Images
Test Set 6%
1144Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 600x600

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -13° and +13°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 1.5% of pixels