Dataset Versions

v7

2022-01-31 10:31am

Generated on Jan 31, 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.
Other Formats
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Dataset Split

Train Set 88%
3354Images
Valid Set 8%
319Images
Test Set 4%
157Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 0 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -30% and +30%
Blur: Up to 1.5px
Noise: Up to 4% of pixels