Dataset Versions

v1

hac_data_12-12

Generated on Dec 12, 2021

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 87%
306Images
Valid Set 9%
30Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±19° Horizontal, ±12° Vertical
Brightness: Between -25% and +25%

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