Dataset Versions

v14

2024-08-16 2:02pm

Generated on Aug 16, 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 92%
1257Images
Valid Set 4%
54Images
Test Set 4%
52Images

Preprocessing

Resize: Stretch to 1280x1280
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -8% and +8%
Exposure: Between -10% and +10%
Blur: Up to 0.4px
Noise: Up to 0.98% of pixels