Dataset Versions

v1

2023-10-22 3:15pm

Generated on Oct 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 88%
6240Images
Valid Set 8%
594Images
Test Set 4%
297Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x780

Augmentations

Outputs per training example: 3
Hue: Between -92° and +92°
Cutout: 4 boxes with 10% size each
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 1.25px
Bounding Box: Noise: Up to 5% of pixels