helloluia

anprktmv4

Object Detection

anprktmv4 Image Dataset

v1

2023-06-03 9:22pm

Generated on Jun 3, 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 87%
2454Images
Valid Set 8%
234Images
Test Set 4%
117Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 0.75px
Noise: Up to 2% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
license-motorcycle-car-bus-truck
2019 images
jpt
vehicle-W3PO
184 images
vehicle-GQ0H-C1fo
184 images