Dataset Versions

v5

2023-09-06 9:04am

Generated on Sep 6, 2023

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 98%
969Images
Valid Set 1%
9Images
Test Set 1%
8Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Hue: Between -1° and +1°
Saturation: Between -1% and +1%
Brightness: Between -1% and +1%
Exposure: Between -1% and +1%
Noise: Up to 1% of pixels
Mosaic: Applied

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