Dataset Versions

v6

2024-07-03 9:34am

Generated on Jul 3, 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 87%
204Images
Valid Set 9%
20Images
Test Set 4%
10Images

Preprocessing

Resize: Fit within 620x480
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Noise: Up to 0.11% of pixels