Dataset Versions

v3

2023-10-30 5:10pm

Generated on Oct 30, 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 89%
3408Images
Valid Set 7%
258Images
Test Set 4%
153Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Exposure: Between -25% and +25%