Dataset Versions

v6

2024-01-19 2:48pm

Generated on Jan 19, 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 90%
1470Images
Valid Set 6%
105Images
Test Set 3%
56Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Rotation: Between -10° and +10°
Brightness: Between 0% and +25%
Blur: Up to 1.4px
Noise: Up to 1.01% of pixels