Dataset Versions

v3

2023-02-02 8:53am

Generated on Feb 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%
6855Images
Valid Set 8%
648Images
Test Set 4%
326Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -15% and +15%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 2% of pixels