Dataset Versions

v2

2023-12-22 12:01pm

Generated on Dec 22, 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 92%
3207Images
Valid Set 6%
200Images
Test Set 2%
62Images

Preprocessing

Modify Classes: 2 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -7° and +7°
Shear: ±7° Horizontal, ±7° Vertical
Hue: Between -10° and +10°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -10% and +10%
Blur: Up to 1.75px
Noise: Up to 2% of pixels