Dataset Versions

v4

2021-11-09 3:02pm30x30

Generated on Nov 9, 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 90%
2892Images
Valid Set 6%
178Images
Test Set 4%
127Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 30x30
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Exposure: Between -10% and +10%

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