Object Detection
Before a flight, I left Astra a short prompt and a signed-in Roboflow account. It collected Microduck media, produced annotations, trained two RF-DETR-Seg-M models, and returned held-out video comparisons. Here...
OpenCV 5 in C++ on the CPU: run object detection, team split, pose estimation and instance segmentation on football footage, fully reproducible....
Learn about the new OpenCV 5 and how to use its DNN engine to run object detection models on the CPU, using real 2026 World Cup football footage....
Learn how to fine-tune YOLO26 on your own data. We build a construction PPE safety detector and a sign-language reader using one simple workflow....
Build a complete pipeline for YOLO26 instance segmentation, from image and video inference to custom dataset training and edge deployment....
Implement multi-object tracking with Roboflow Trackers and OpenCV. Apply ByteTrack and SORT to detect, track, and draw trajectories in real-world videos....
YOLOv26 is an edge-first object detector designed for real-time deployment, featuring NMS-free inference, quantization stability, and predictable latency....
Object detection has traditionally been a closed-set problem: you train on a fixed list of classes and cannot recognize new ones. Grounding DINO breaks this mold, becoming an open-set, language-conditioned...
Object detection has come a long way, especially with the rise of transformer-based models. RF-DETR, developed by Roboflow, is one such model that offers both speed and accuracy. Using Roboflow’s...
Imagine you have multiple warehouses in different places where you don’t have time to monitor everything at a time, and you can’t afford a lot of computes due to their...
Object detection has undergone tremendous advancements, with models like YOLOv12, YOLOv11, and Darknet-Based YOLOv7 leading the way in real-time detection. While these models perform exceptionally well on general object detection...
A comprehensive step-by-step guide on fine-tuning RetinaNet using PyTorch to achieve 79% accuracy on wildlife detection tasks. In this tutorial, we dive deep into RetinaNet’s architecture, explain the benefits of...
