Dataset Versions

v2

2023-10-13 6:18pm

Generated on Oct 13, 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%
1656Images
Valid Set 8%
158Images
Test Set 4%
78Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Hue: Between -6° and +6°
Saturation: Between -7% and +7%
Brightness: Between -9% and +9%
Blur: Up to 1px
Noise: Up to 5% of pixels