YOLO Model Training.
Custom Computer Vision
Custom YOLO model training, from data to production.
Our Expertise
We master the entire development chain of YOLO-based computer vision solutions. Defect detection, object identification, visual inspection automation: we create AI models adapted to your needs.
Services
Data Preparation
- Audit and collection strategy
- Cleaning and organization
- Dataset quality assessment
Labeling and Annotation
- Precise annotation (bounding boxes, segmentation)
- Professional tools (LabelImg, CVAT, Roboflow)
- Quality validation and consistency
Preprocessing
- Data augmentation (rotation, zoom, brightness)
- Format normalization
- Class balancing
Training
- Adapted architecture (YOLOv5, YOLOv8, YOLOv9, YOLO11)
- Hyperparameter optimization
- Rigorous validation (mAP, precision, recall)
Deployment
- Multi-format export (ONNX, TensorRT, CoreML)
- REST API and integration
- Cloud or edge (Raspberry Pi, Jetson Nano)
Maintenance
- Production monitoring
- Periodic retraining
- Continuous technical support
Applications
- Industry: Defect detection, quality control
- Security: Surveillance, counting, behavioral analysis
- Agriculture: Disease identification, fruit counting
- Logistics: Package recognition, automated sorting
- Retail: Shelf analysis, stockout detection
Methodology
- Discovery: Analysis of your problem
- Pilot: Feasibility validation
- Iterations: Progressive improvement
- Validation: Business testing
- Production: Progressive deployment
Contact Us
Automate your visual processes with AI. Let's discuss your computer vision project.