Dataset Versions

v11

double

Generated on Jul 7, 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 89%
2388Images
Valid Set 8%
218Images
Test Set 3%
86Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 1 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Saturation: Between -27% and +27%
Exposure: Between -7% and +7%
Noise: Up to 0.89% of pixels

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