Dataset Versions

v6

2021-10-12 3:53pm

Generated on Oct 12, 2021

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 91%
258Images
Valid Set 4%
12Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 1 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -12% and +12%
Brightness: Between -16% and +16%
Exposure: Between -6% and +6%
Blur: Up to 1.25px
Noise: Up to 1% of pixels

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