6 posts tagged with "Object Detection"

I recently deployed RF-DETR — Roboflow's real-time, transformer-based object detector — into a TensorRT-accelerated ROS2 pipeline. This post covers what RF-DETR is, why I picked it, and how the deployment is structured.

I recently started experimenting with the CARLA simulator and decided to test whether a pre-trained perception model — with zero exposure to simulated data — could hold up against synthetic imagery.

I recently deployed three deep learning models covering three core perception tasks — all running simultaneously in real-time on a single GPU.

This post explains how I deployed the TorchVision FCOS object detection model in TensorRT for real-time inference — achieving a ~20× speedup over the LibTorch baseline.

I've been experimenting with YOLOv11 recently, and I was genuinely surprised by how easy it is to use — it delivers accurate results with minimal effort.

When people think about YOLO model versions, the assumption is usually straightforward: newer is better. But that isn't always the case — especially when you're using pre-trained weights without any fine-tuning.