Dataset Versions

v2

2024-06-26 6:57pm

Generated on Jun 26, 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 92%
7545Images
Valid Set 5%
430Images
Test Set 3%
240Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±13° Vertical
Grayscale: Apply to 15% of images
Hue: Between -14° and +14°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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