Dataset Versions

v2

2024-05-18 11:02pm

Generated on May 18, 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.
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Dataset Split

Train Set 96%
441Images
Valid Set 4%
16Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -70% and +70%
Brightness: Between -25% and +25%
Exposure: Between -30% and +30%

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