Moon

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moon

Object Detection

moon Image Dataset

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Versions
2023-05-17 9:34am
v3
·
a year ago
2023-05-17 8:32am
v2
·
a year ago
2023-05-17 7:37am
v1
·
a year ago
v1

2023-05-17 7:37am

Generated on May 17, 2023
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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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1076 Total Images

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Dataset Split

Train Set 91%
975Images
Valid Set 0%
5Images
Test Set 9%
96Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -38° and +38°
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -35% and +35%