Dataset Versions

v6

2023-04-04 12:30am

Generated on Apr 3, 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.
Other Formats
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Dataset Split

Train Set 70%
4072Images
Valid Set 20%
1136Images
Test Set 10%
573Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Tile: 2 rows x 2 columns
Modify Classes: 13 remapped, 0 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 1
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels

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