Dataset Versions

v3

2023-04-28 10:39pm

Generated on Apr 28, 2023

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%
462Images
Valid Set 5%
25Images
Test Set 5%
25Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±6° Horizontal, ±6° Vertical
Hue: Between -16° and +16°
Saturation: Between -34% and +34%
Blur: Up to 6px
Noise: Up to 5% of pixels