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computer-vision-expert

authentic

Computer vision pipeline design and evaluation. Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.

When to use

• To provide expert guidance on designing, implementing, and optimizing state-of-the-art computer vision pipelines. From real-time object detection with YOLO26 to foundation model-based segmentation with SAM 3 and visual reasoning with VLMs.
• Designing high-performance real-time detection systems (YOLO26).
• Implementing zero-shot or text-guided segmentation tasks (SAM 3).
• Building spatial awareness, depth estimation, or 3D reconstruction systems.
• Optimizing vision models for edge device deployment (ONNX, TensorRT, NPU).
• Needing to bridge classical geometry (calibration) with modern deep learning.

When not to use

• Model names are choices to evaluate, not a universal SOTA claim. Preserve dataset splits, version/checkpoint, preprocessing, latency hardware/precision and measured task metrics. Review each model/code/data license before distribution or d…
• No models/checkpoints are bundled or downloaded here. Image/person data and safety-critical/medical uses require approved processing, consent and appropriate validation; model output is not guaranteed ground truth.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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