Tensor LabsTENSORLABS

Computer Vision

Teach machines to see.

Detection, classification, segmentation, OCR, and video analytics. Production systems with real-time inference and edge deployment.

99.2% detection accuracy achieved

Computer vision development services — detection, classification, and video analytics

What We Build

What you get

Object Detection & Tracking

Real-time detection and multi-object tracking for surveillance, retail analytics, and industrial inspection using YOLOv8 and Detectron2.

Image Classification

Multi-class and multi-label classifiers for medical imaging, quality control, document categorization, and content moderation.

Segmentation

Semantic, instance, and panoptic segmentation with SAM and Mask R-CNN for pixel-level scene understanding.

Video Analytics

Frame-level and temporal analysis for activity recognition, anomaly detection, crowd counting, and traffic monitoring.

OCR & Document AI

Structured data extraction from invoices, receipts, forms, and handwritten documents with layout-aware models.

Generative Visual AI

Image generation, inpainting, style transfer, and synthetic data generation for training data augmentation.

Built with

PyTorchTensorFlowOpenCVUltralyticsYOLOv8Detectron2SAMFlorence-2Vision TransformersTensorRTONNXTorchServeTritonJetsonCoreMLTFLiteOpenVINOCVATLabel StudioAlbumentationsDVC

How we deliver

01

Discovery & Feasibility

We assess the visual problem, evaluate data availability, and determine the right model architecture before writing code.

02

Data Pipeline & Annotation

Build the annotation workflow, data augmentation pipeline, and quality assurance process that feeds the model.

03

Model Development

Iterative training with experiment tracking, hyperparameter optimization, and rigorous evaluation on held-out test sets.

04

Production Deployment

Optimized inference with TensorRT or ONNX, edge deployment options, monitoring, and automated retraining triggers.

Next step

Have a vision problem?

Detection, classification, OCR, video analytics — tell us what you need to see.