Dataset Versions

v1

2024-02-22 12:15am

Generated on Feb 21, 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
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Dataset Split

Train Set 93%
1917Images
Valid Set 3%
66Images
Test Set 4%
82Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 11% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -5° and +5°
Hue: Between -48° and +48°
Saturation: Between -81% and +81%
Brightness: Between -36% and +36%
Exposure: Between -8% and +8%
Noise: Up to 0.9% of pixels