Multiclass

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mc

Object Detection

mc Image Dataset

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Versions
base_9954
v3
Dec 19, 2022
20359
v2
Dec 19, 2022
8481
v1
Dec 16, 2022
v2

20359

Generated on Dec 19, 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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20359 Total Images

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Dataset Split

Train Set 88%
17817Images
Valid Set 8%
1695Images
Test Set 4%
847Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 0.25px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 5% size each