Dataset Versions

v8

V2.4 - With null imgs

Generated on Sep 22, 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 76%
2091Images
Valid Set 22%
615Images
Test Set 1%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 200x200
Modify Classes: 0 remapped, 1 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 1
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%

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