Build Production-ready Vision Models
Yourself
From a few images to deployment. No experience required.
Try it now - Experience the platform
Build a Model
Select the model type and configure your training settings.
Click to select a model type
A complete deep learning platform
Our engine powers the entire model lifecycle - from training mini models for edge devices to large models for complex visual tasks.
Mini to Large Models
Choose the right model size for your needs - from lightweight edge models to powerful large-scale architectures.
Deep Learning Engine
Our optimized engine handles training, hyperparameter tuning, and model optimization automatically.
Smart Data Pipeline
Intelligent data augmentation and preprocessing maximizes model performance from your dataset.
Flexible Deployment
Deploy anywhere - edge devices, on-premise servers, or cloud inference endpoints via REST API.
Everything you need to ship AI models
From training to deployment, we handle the complexity so you can focus on solving your inspection challenges.
Model Training
Classification, Object Detection, and Instance Segmentation
- Multi-class classification
- Bounding box detection
- Pixel-level segmentation
Faster Prototyping
Go from idea to working model in minutes, not months.
- Automated hyperparameter tuning
- One-click training
- Real-time progress monitoring
Faster Time-to-Deploy
Streamlined pipeline from training to production deployment
- Export to multiple formats
- One-click deployment
- Version control built-in
Mobile & Edge Models
Optimized models via quantization for resource- constrained devices
- INT8 quantization
- TensorRT optimization
- ONNX & OpenVINO export
Accelerated Labeling
Auto-labeling and smart labeling to speed up annotation
- Model-assisted labeling
- Active learning suggestions
- Bulk annotation tools
Built for manufacturing excellence
From semiconductor fabs to food processing, teams use VisionRepo to automate visual inspection at scale.
PCB Soldering Defect Detection
Automatically detect soldering defects including cold joints, bridges, insufficient solder, and missing components. Our models identify defect location and type in real-time.
- Cold solder joints
- Solder bridges
- Missing components
- Tombstoning
Wafer Defect Inspection
Detect microscopic defects on semiconductor wafers including particles, scratches, pattern defects, and contamination. Achieve sub-micron detection accuracy.
- Particle contamination
- Surface scratches
- Pattern defects
- Edge chips
Food Quality Inspection
Segment and classify individual items for quality grading, ripeness detection, and defect identification. Perfect for sorting lines and packaging verification.
- Individual item segmentation
- Quality grading
- Ripeness detection
- Size classification
And many more applications
"VisionRepo enabled us to build production-grade inspection models without any hand-holding. We achieved 99.2% accuracy with zero prior data science experience - our quality engineers did it all themselves."
Automation Manager @ Semiconductor OEM
Flexible deployment options
Integrate trained models anywhere - via API, on your own servers, or in our managed cloud. You choose what works best for your infrastructure.
REST API
Simple RESTful API integration with SDKs for Python, JavaScript, and more. Get predictions with a single HTTP call.
Cloud Hosted
Managed cloud inference with auto-scaling. Zero infrastructure management, pay per prediction.
import visionrepo
# Initialize client
client = visionrepo.Client(api_key="your_api_key")
# Run inference
result = client.predict(
model_id="pcb-defect-detector",
image="path/to/image.jpg"
)
# Get detections
for detection in result.detections:
print(f"{detection.label}: {detection.confidence:.2%}")Ready to automate visual inspection?
Join hundreds of manufacturing teams using VisionRepo to improve quality and reduce costs.
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