Dataset Versions

v6

2023-08-31 2:24am

Generated on Aug 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.
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Dataset Split

Train Set 90%
222Images
Valid Set 3%
8Images
Test Set 7%
16Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 1 columns

Augmentations

Outputs per training example: 3
Shear: ±14° Horizontal, ±15° Vertical
Hue: Between -66° and +66°
Brightness: Between -49% and +49%
Exposure: Between -45% and +45%
Noise: Up to 5% of pixels
Mosaic: Applied

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