Dataset Versions

v9

2024-09-30 7:14pm

Generated on Sep 30, 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 93%
663Images
Valid Set 7%
51Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 3 rows x 3 columns
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 0.5% of pixels

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