Dataset Versions

v2

2024-05-26 7:06pm

Generated on May 26, 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 92%
19587Images
Valid Set 4%
806Images
Test Set 4%
818Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between 0% and +73%
Blur: Up to 1px
Noise: Up to 0.1% of pixels
Mosaic: Applied
Bounding Box: Noise: Up to 0.1% of pixels

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