Dataset Versions

v10

2024-05-08 1:06pm

Generated on May 8, 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 90%
5325Images
Valid Set 7%
399Images
Test Set 4%
224Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Brightness: Between -6% and +6%
Exposure: Between -4% and +4%
Blur: Up to 1.4px
Noise: Up to 0.25% of pixels

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