Dataset Versions

v2

2024-09-22 12:49pm

Generated on Sep 22, 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 93%
2427Images
Valid Set 3%
85Images
Test Set 4%
106Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 9-75% Vertical Region
Dynamic Crop: Class: drone
Resize: Stretch to 614x614
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical

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