Precisely annotated synthetic image data solves cold start problems, increases existing training data’s efficiency, covers edge cases and reduces development time and cost. You don’t have to be a data rich company to benefit from synthetic data.
Total control over data distribution
Our data generation pipeline is fully customizable and free of bias. You can create any edge case you want, with virtually unlimited variations.
Total control over data distribution
Our data generation pipeline is fully customizable and free of bias. You can create any edge case you want, with virtually unlimited variations.
Precisely annotated data and metadata
Our generated images are automatically annotated, with a pixel level precision. You can train a model right out of generation process without any tedious quality checks. Also we generate a rich metadata that is hard to replicate with human annotation process.
Synthetic data has built-in privacy
Synthetic image data is generated from 3D models in a virtual world. Output images do not contain any personal identifiable information.
Synthetic data has no privacy issues
Synthetic image data is generated from 3D models in a virtual world. Output images do not contain any personal identifiable information.Â
More scalable
than real data
Synthetic data is cheaper and faster to acquire. It scales better with increasing variety than real data. Every scenario conceivable is achievable with synthetic data.
How does it work?
#1
Define the data distribution
Together, we define a set of variations and acceptable limits. If necessary, we develop custom variations.
#2
Create the generation pipeline
We create a procedural world based on agreed variations and generate a sample data.
#3
Fine tune
and reiterate
We optimize parameters until we create a desired sample dataset. Then, we generate your dataset.
Annotation types
Bounding Box
Depth
Segmentation
Keypoint
Use cases
Agriculture
- Automated Weed Control
- Harvest Picking
- Rock Picking
- Aerial Vision
Manufacturing
- Defect Detection
- Safety Monitoring
- Robotic Automation
Non-Profit
- Academic Research
- NGOs
- Think-tanks
Retail
- Cashierless Checkout
- In-store Analytics
- Inventory Management
Transportation
- Parking Lot Detection
- Vehicle Counting
- Passenger Observation
- Pedestrian Detection
Other
- Waste Detection
- Construction/Mining
- Site Progress
- Food Detection
- Animal Detection
- Sports Analytics
Use cases
Agriculture
- Automated Weed Control
- Harvest Picking
- Rock Picking
- Aerial Vision
Manufacturing
- Defect Detection
- Safety Monitoring
- Robotic Automation
Non-Profit
- Academic Research
- NGOs
- Think-tanks
Retail
- Cashierless Checkout
- In-store Analytics
- Inventory Management
Transportation
- Parking Lot Detection
- Vehicle Counting
- Passenger Observation
- Pedestrian Detection
Other
- Waste Detection
- Construction/Mining
- Site Progress
- Food Detection
- Animal Detection
- Sports Analytics
Contact
How can we help?
Just drop us a line at info@mirage.vision
-If you are curious about synthetic data
-If you want to see how synthetic data fits your use case
-If you want to join us (please include why you are interested and what you can contribute)
