FinalYP

Traffic Sample

Object Detection

Traffic Sample Image Dataset

v2

65237-1

Generated on Jun 12, 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
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Dataset Split

Train Set 79%
9018Images
Valid Set 8%
864Images
Test Set 14%
1575Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 35% of images
Hue: Between -46° and +46°
Saturation: Between -42% and +42%
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -35% and +35%
Bounding Box: Exposure: Between -25% and +25%
SY
traffic-light
82 images
Sam
SAm
-all-
940 images
cars-trafficlight-bus-truck-moto
1398 images