Dataset Versions

v2

2023-01-23 2:58pm

Generated on Jan 23, 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 70%
5313Images
Valid Set 20%
1506Images
Test Set 10%
766Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-96% Vertical Region
Resize: Stretch to 1280x1920
Tile: 2 rows x 3 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 1
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels