Dataset Versions

v2

version2

Generated on May 26, 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%
1395Images
Valid Set 13%
200Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 300x300

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -5° and +5°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between 0% and +25%