Dataset Versions

v2

2021-11-25 4:02pm

Generated on Nov 25, 2021

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 75%
12384Images
Valid Set 10%
1704Images
Test Set 15%
2488Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 2 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -100° and +100°
Saturation: Between -60% and +60%
Bounding Box: Exposure: Between -40% and +40%