Dataset Versions

v7

2022-10-20 4:17pm

Generated on Oct 20, 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
Choose another format.

Dataset Split

Train Set 89%
714Images
Valid Set 7%
54Images
Test Set 4%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -25° and +25°
Exposure: Between -25% and +25%
Blur: Up to 4px
Noise: Up to 15% of pixels