Dataset Versions

v5

2024-03-27 10:09am

Generated on Mar 27, 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 88%
2076Images
Valid Set 8%
193Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 0.38% of pixels