Dataset Versions

v3

2024-12-07 5:20pm

Generated on Dec 7, 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 93%
9543Images
Valid Set 4%
361Images
Test Set 4%
364Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1088x1088

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -32% and +32%
Brightness: Between -22% and +22%
Blur: Up to 1.4px
Noise: Up to 1.96% of pixels