Dataset Versions

v2

2023-01-30 8:51am

Generated on Jan 30, 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.
Other Formats
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Dataset Split

Train Set 88%
1204Images
Valid Set 8%
110Images
Test Set 4%
61Images

Preprocessing

Resize: Stretch to 640x640
Tile: 3 rows x 3 columns
Filter Null: Require at least 47% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%

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