Learning with Computer Vision Models on Aerial

Object Detection

Dataset Versions

v1

2022-02-10 8:44pm

Generated on Feb 11, 2022

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%
216Images
Valid Set 7%
16Images
Test Set 5%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 5px
Noise: Up to 5% of pixels
Mosaic: Applied

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