Dataset Versions

v4

EvenLess

Generated on Sep 15, 2021

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 81%
13117Images
Valid Set 19%
3050Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 1
Rotation: Between -6° and +6°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -10% and +10%
Exposure: Between -8% and +8%

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