Capability 05
Computer Vision
Detection, OCR, and classification models that run where you need them — in the cloud or on the device.
- Stack
- PyTorch · YOLOv8
- mAP@50
- 91.8%
- Throughput
- 60+ FPS
- Edge
- ONNX · CoreML
We build and train vision models for object detection, OCR, and classification, then deploy them where they belong — high‑throughput in the cloud or quantized to run on‑device with ONNX and CoreML. You choose the trade‑off between accuracy, latency, and privacy.
Every model is validated on your imagery and instrumented for the real world, where lighting, angles, and edge cases decide whether it actually works.
What a build includes
- Object detection, OCR, or classification trained on your imagery
- Cloud inference at 60+ FPS, or edge deployment via ONNX/CoreML
- Quantization and optimization for on‑device latency and privacy
- Evaluation on real‑world edge cases, not just clean benchmarks