Dataset Versions

v1

2023-04-13 3:04am

Generated on Apr 13, 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 82%
1332Images
Valid Set 7%
116Images
Test Set 10%
168Images

Preprocessing

Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -36% and +36%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied

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