Dataset Versions

v4

2023-09-20 10:57pm

Generated on Sep 21, 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 89%
11415Images
Valid Set 7%
949Images
Test Set 4%
485Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -15° and +15°

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