Dataset Versions

v7

2024-04-23 2:09pm

Generated on Apr 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.
Other Formats
Choose another format.

Dataset Split

Train Set 91%
8357Images
Valid Set 8%
696Images
Test Set 2%
163Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 69% of images to contain annotations.

Augmentations

Outputs per training example: 5
Rotation: Between -10° and +10°
Shear: ±8° Horizontal, ±8° Vertical
Saturation: Between -20% and +20%