Dataset Versions

v1

2023-08-30 8:24pm

Generated on Aug 30, 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 88%
138Images
Valid Set 8%
13Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -21° and +21°
Grayscale: Apply to 100% of images
Hue: Between -102° and +102°
Saturation: Between -50% and +50%
Exposure: Between -15% and +15%
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 26% Maximum Zoom
Bounding Box: Exposure: Between -36% and +36%

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