Dataset Versions

v2

2022-10-30 10:47am

Generated on Oct 30, 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%
4482Images
Valid Set 4%
210Images
Test Set 8%
431Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -24° and +24°
Shear: ±20° Horizontal, ±20° Vertical
Noise: Up to 10% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -24° and +24°
Bounding Box: Shear: ±20° Horizontal, ±20° Vertical
Bounding Box: Noise: Up to 10% of pixels