Dataset Versions

v10

2024-04-29 6:02pm

Generated on Apr 29, 2024

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 95%
1050Images
Valid Set 4%
40Images
Test Set 1%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 1-99% Horizontal Region, 1-99% Vertical Region
Resize: Fit within 640x400
Grayscale: Applied

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±5° Horizontal, ±5° Vertical
Blur: Up to 0.5px
Noise: Up to 1.01% of pixels