Dataset Versions

v2

2023-02-08 9:40am

Generated on Feb 8, 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 %
0Images
Valid Set %
0Images
Test Set 100%
456Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -35° and +35°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels
Mosaic: Applied

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