Dataset Versions

v8

2024-05-31 11:35am

Generated on May 31, 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%
528Images
Valid Set 5%
29Images
Test Set 3%
15Images

Preprocessing

Resize: Fit (black edges) in 640x448
Tile: 13 rows x 13 columns
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
Exposure: Between -25% and +25%

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