Dataset Versions

v70

AUTOENCODER_TRAINING_DATASET_V1

Generated on May 3, 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.
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Dataset Split

Train Set 85%
1601Images
Valid Set 15%
272Images
Test Set %
0Images

Preprocessing

Modify Classes: 20 remapped, 2 dropped
Filter by Tag: 0 required, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±5° Horizontal, ±2° Vertical
Brightness: Between -25% and +25%

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