Leanse Sangeerth

Detecting Mobile users

Object Detection

Detecting Mobile users Image Dataset

v1

2023-12-01 11:35pm

Generated on Dec 1, 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.
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Dataset Split

Train Set 97%
393Images
Valid Set 3%
14Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 2% of images
Hue: Between -5° and +5°
Saturation: Between -11% and +11%
Brightness: Between -2% and +2%
Exposure: Between -1% and +1%
Blur: Up to 0.25px
Noise: Up to 1% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 2% Maximum Zoom
Bounding Box: Exposure: Between -2% and +2%
Bounding Box: Noise: Up to 1% of pixels
person-phone
31 images
person-using-cell-phone
247 images
person_using_cellphone
113 images
person_using_cellphone-qMhK
113 images
person_using_cellphone-qMhK-FYju-kkNH
113 images