Dataset Versions

v2

2024-09-27 10:02am

Generated on Sep 27, 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 86%
384Images
Valid Set 8%
36Images
Test Set 6%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 240x240
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise