Luís Condados·Aug 20CNN vs Transformer, quantized: YOLO26-seg and RF-DETR-Seg race for instance masks on an Intel iGPUInstance segmentation, a mask per object rather than just a box, is the expensive end of real-time vision. The reflex is to reach for an…
Sobhan Hota·Jun 22Building a Real-Time Human Pose Detection App with RF-DETR and StreamlitPose detection sounds simple — find a person, mark their joints. But in practice it falls apart fast:
Davidshuaiche·Jun 9ONNX Runtime Go Binding: Zero-CGO Calls via puregoHow raven-onnxruntime uses purego to call the ONNX Runtime C API from Go, avoiding CGO dependencies and simplifying cross-compilation and…
Luís Condados·May 29RF-DETR vs YOLO-NAS: A Practical Benchmark for Edge Deployment on CPU, GPU, and Intel iGPUWhen accuracy matters, pick the transformer. When latency matters, pick the CNN. This article gives you the numbers to defend that call.
Daisuke Majima (MLBoy)·Mar 31Filling the “Last Mile” of Object Detection — peaceofcake 🍰 as an OptionWhat happened in object detection in 2024
Rishi Kumar Soni·Jan 22How to Test a RF-DETR based Object Detection ModelThis article is a continuation of my previous article on how to train a RF-DETR based object detection model, check here.
Rishi Kumar Soni·Jan 20How to train a RF-DETR based Object Detection ModelIn my previous article the file structure of dataset is explained, check here.
InRectlabs IncbyNunsi Shiaki·Jan 8How RFDETR Brings Transformer Power to Real-World Computer Vision TasksComputer vision models today are expected to do more than just detect objects. They should adapt to different environments, work fast, give…
Soumyajit Swain·Dec 25, 2025Beyond YOLO: Mastering Real-Time Object Detection with RF-DETR and SupervisionIn the rapidly evolving world of Computer Vision, the crown for “real-time king” is no longer held by a single architecture. While YOLO has…
