Dataset Versions

v11

2024-02-08 6-29pmIDK just more stuuff- epoch80 GC

Generated on Feb 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.
Other Formats
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Dataset Split

Train Set 96%
2117Images
Valid Set 4%
84Images
Test Set 0%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Filter Null: Require at least 99% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Blur: Up to 0.1px
Noise: Up to 0.5% of pixels

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