Dataset Versions

v3

2022-12-16 12:46am

Generated on Dec 15, 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 87%
1977Images
Valid Set 8%
188Images
Test Set 4%
95Images

Preprocessing

Auto-Orient: Applied
Static Crop: 29-57% Horizontal Region, 41-73% Vertical Region
Resize: Stretch to 360x360
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Hue: Between -116° and +116°
Exposure: Between -25% and +25%
Blur: Up to 0.75px
Noise: Up to 5% of pixels