NT

Камера_2

Object Detection

Камера_2 Image Dataset

v6

2024-06-04 10:50am

Generated on Jun 4, 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 94%
8085Images
Valid Set 4%
331Images
Test Set 2%
203Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 24% of images
Hue: Between -24° and +24°
Saturation: Between -29% and +29%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 4.3px
Noise: Up to 5.09% of pixels

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