Dataset Versions

v3

2024-07-12 1:10pm

Generated on Jul 12, 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 82%
7200Images
Valid Set 9%
800Images
Test Set 9%
800Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 20% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 1.5% of pixels