Dataset Versions

v2

2024-08-10 3:41am

Generated on Aug 10, 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 93%
44448Images
Valid Set 4%
2112Images
Test Set 2%
1058Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 6
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 1.85% of pixels

Similar Projects

See More