Synthetic Data
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Gheghasystem for your Business
Generate
Generate Synthetic Data for Highly Accurate Railway Defect Detection
All-in-One
All-in-One Solutions for Defect Detection, from Data Generation to Model Training
Train & Detect
Train AI to Detect any Defects like Fractured or Missing Components. No Real-world Data Needed
Example
As a railway infrastructure company. I want to detect
- missing
- fractured
- misaligned
tension clamps on image data.
Content Production
Therefore, I want a dataset with:
- 120.000 images
- 30.000 missing
- 30.000 fractured
- 30.000 misaligned
- 30.000 OK
In the most cases the needed image data does not exist, is rare, unlocated and takes time to find & annotate
Solution
We can create any annotation of any object you like
With any metadata (rotation, placement, attributes like dirty, etc.) you want.
I any Format you need (YOLO, MS-COCO, Supervisely, etc.)
synthetic images
panoptic segmentation
depth map
any data-set size you want
Synthetic Training Data
Railway Specific Parameters (just a few)
- grain-size curve of the gravel
- Track curve Radius
- Sinusoidal cart motion
- Cart length, boogie placement, etc.
- polished reail head
General Parameters (just a few)
- Dirt, Trash, Rust, Moisture, etc.
- Defects, Missing, Misaligned, Fractured components etc.
