Blog

Aarnav Shah

Growth and ML intern at Roboflow and previously a blog contributor with 50+ articles demonstrating how to build, train, and deploy computer vision models for real-world use cases.

Latest Posts by Aarnav Shah

Roboflow Computer Vision in Healthcare and Medicine

9 May 2026 • 12 min read

Use Cases for Computer Vision in Healthcare

The FDA has authorized 1,524 AI-enabled medical devices, and the market for vision in healthcare is growing 24% a year. Here are 9 ways hospitals use computer vision today, from pill counting to cancer screening, with tutorials to build each one.

Occlusion Techniques in Computer Vision with Roboflow

8 May 2026 • 8 min read

Occlusion Techniques in Computer Vision

Occlusion is when part of an object is hidden from view, and models trained on clean images fail on it: augmentations like Cutout, CutMix, Mosaic, and Copy-Paste block or mix regions during training to force generalization beyond one canonical feature.

Edge vs. Cloud Inference with Roboflow

6 May 2026 • 7 min read

Edge vs. Cloud Inference with Roboflow

Should you deploy computer vision models to the edge or the cloud? Compare latency, costs, and connectivity to choose the best inference architecture.

Best Object Detection Models on Roboflow Vision AI

4 May 2026 • 7 min read

Best Object Detection Models

Object detection has entered a new era in 2025. Next-generation models are combining transformer efficiency and real-time speed to power breakthroughs in automation, robotics, and visual intelligence across every industry. See the best models.

the best post estimation models - rf-detr keypoints

6 Apr 2026 • 15 min read

Best Pose Estimation Models

Pose estimation is transforming how we understand human movement, powering everything from fitness tracking and sports analytics to healthcare rehabilitation. This guide explores the best pose estimation models, and shows how to deploy them efficiently across mobile, edge, and cloud environments.

why RF-DETR is the better option to select for object detection than YOLO

15 Jan 2026 • 12 min read

RF-DETR vs. YOLO: Choosing the Right Architecture for your Project

Explore key differences in architecture, real-world accuracy, edge deployment, and open-source licensing.

Getting Started with Roboflow

1 Jan 2026 • 18 min read

Getting Started with Roboflow

Learn how to label, train, and deploy a computer vision model end to end in Roboflow, from your first annotation to a production API endpoint.

pcb defect detection ai

4 Aug 2025 • 14 min read

Real-Time PCB Defect Detection with Computer Vision

Learn how to build a real-time PCB defect detection system using Roboflow and Python. This step-by-step guide shows how to train a custom model, create an automated inspection workflow, and display results in a sleek, operator-friendly GUI.

Computer Vision Use Cases in Healthcare and Medicine

25 Jan 2021 • 3 min read

Computer Vision Use Cases in Healthcare and Medicine

The FDA has authorized 1,524 AI-enabled medical devices, and the market for vision in healthcare is growing 24% a year. Here are 9 ways hospitals use computer vision today, from pill counting to cancer screening, with tutorials to build each one.

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