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test

Object Detection

test Image Dataset

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Versions
Used for copy-paste testing
v7
Nov 20, 2022
2022-11-06 6:06pm
v6
Nov 6, 2022
2022-11-06 2:10am
v5
Nov 6, 2022
2022-10-22 6:54pm
v4
Oct 22, 2022
2022-10-05 6:25pm
v3
Oct 5, 2022
2022-10-03 5:14pm
v2
Oct 3, 2022
2022-10-03 3:31pm
v1
Oct 3, 2022
v6

2022-11-06 6:06pm

Generated on Nov 6, 2022
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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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3112 Total Images

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Dataset Split

Train Set 87%
2715Images
Valid Set 8%
256Images
Test Set 5%
141Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -35% and +35%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels