Dataset Versions

v25

2024-03-10 2:36pm

Generated on Mar 10, 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 87%
864Images
Valid Set 9%
85Images
Test Set 4%
40Images

Preprocessing

Static Crop: 60-100% Horizontal Region, 20-80% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Noise: Up to 0.1% of pixels

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