Dataset Versions

v4

2022-10-15 6:07pm

Generated on Oct 15, 2022

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%
4152Images
Valid Set 8%
393Images
Test Set 4%
205Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±17° Horizontal, ±6° Vertical
Grayscale: Apply to 20% of images
Hue: Between -90° and +90°
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels

Similar Projects

See More