Dataset Versions

v2

2024-08-26 5:09am

Generated on Aug 26, 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.
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Dataset Split

Train Set 87%
123Images
Valid Set 9%
12Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 39-79% Horizontal Region, 50-68% Vertical Region
Dynamic Crop: Class: side-pallet
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±0° Horizontal, ±0° Vertical
Hue: Between -94° and +94°
Noise: Up to 4.57% of pixels

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