Dataset Versions

v1

2023-03-19 6:12am

Generated on Mar 19, 2023

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 88%
147Images
Valid Set 8%
13Images
Test Set 4%
7Images

Preprocessing

Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -39° and +39°
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 13px
Mosaic: Applied