Dataset Versions

v4

Dataset_v1.0

Generated on Apr 5, 2022

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 88%
6582Images
Valid Set 8%
628Images
Test Set 4%
308Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Exposure: Between -40% and +40%
Noise: Up to 10% of pixels

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