Dataset Versions

v3

2024-01-03 1:56pm

Generated on Jan 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 80%
6000Images
Valid Set 13%
1000Images
Test Set 7%
500Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2.5px