Dataset Versions

v1

2023-05-12 4:04pm

Generated on May 12, 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 96%
1650Images
Valid Set 3%
47Images
Test Set 1%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1080x1080

Augmentations

Outputs per training example: 10
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -35% and +35%
Blur: Up to 2.5px
Noise: Up to 5% of pixels