Dataset Versions

v3

640-3vr-goodlebel

Generated on Jun 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 96%
86079Images
Valid Set 4%
3153Images
Test Set 0%
203Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -30° and +30°

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