Dataset Versions

v40

2024-10-27 9:18pm

Generated on Oct 27, 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 88%
3275Images
Valid Set 8%
296Images
Test Set 4%
163Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 1280x1280
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -20% and +20%
Exposure: Between -10% and +10%

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