🧠 Stage 2: Model Development

Model
Development

We design and train custom computer vision models tailored to your specific requirements—from rapid prototypes to production-grade systems.

Core Capabilities

Object Detection

  • â–¸YOLO, RT-DETR, DINO architectures
  • â–¸Custom anchor-free detectors
  • â–¸Multi-scale detection
  • â–¸Real-time optimization

Segmentation

  • â–¸Semantic & instance segmentation
  • â–¸U-Net, nnU-Net, SAM fine-tuning
  • â–¸Panoptic segmentation
  • â–¸3D volumetric segmentation

Tracking

  • â–¸Multi-object tracking (ByteTrack, DeepSORT)
  • â–¸Re-identification systems
  • â–¸Trajectory prediction
  • â–¸Kalman & optical flow fusion

Classification & Recognition

  • â–¸Custom CNN architectures
  • â–¸Vision transformers (ViT, Swin)
  • â–¸Few-shot learning
  • â–¸Multi-label classification

Our Approach

Research-First Architecture

We evaluate the latest research (CVPR, ICCV, ECCV) and select the optimal architecture for your specific constraints—accuracy, speed, or resource limitations.

Custom Loss Functions

Domain-specific loss design for imbalanced datasets, edge cases, and unique evaluation metrics that matter to your application.

Iterative Optimization

Systematic hyperparameter tuning, architecture search, and model compression to achieve the best performance for your deployment target.

Need a Custom Vision Model?

Let's architect a solution tailored to your specific requirements.

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