Dataset Versions

v4

2023-10-02 9:24pm

Generated on Oct 2, 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 88%
9963Images
Valid Set 8%
949Images
Test Set 4%
474Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 560x800
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -50% and +50%
Exposure: Between -10% and +10%
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 5% of pixels