Dataset Versions

v2

2022-10-18 1:14pm

Generated on Oct 18, 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%
1059Images
Valid Set 8%
98Images
Test Set 5%
59Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 52% of images
Hue: Between -86° and +86°
Brightness: Between -35% and +35%
Blur: Up to 2px
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±16° Vertical