SUMMary Model rankings shift with every release, so static lists go stale fast. This post explains how AI data labeling works, shows how to compare 25 current models on the Roboflow Playground object ...
Summary This tutorial builds a rental-car walkaround inspector. You upload a video of the car, and the system timestamps it before it even finishes uploading, runs an RF-DETR damage model inside a Rob...
Summary The Purdue Model splits an industrial network into levels (physical process, PLCs, SCADA, MES, the DMZ, then enterprise IT) so a breach in business software never reaches the machinery, and it...
This week, Alibaba released Qwen3.8-Max, its most capable Qwen model so far. The model has 2.4 trillion total parameters and uses a Mixture-of-Experts architecture, activating around 95 billion parame...
SUMMARY Small objects in drone imagery are detectable with a custom-trained model: this tutorial trains RF-DETR on roughly 7,000 aerial images with 120,000+ person annotations to find nine classes of ...
Summary Dwell time and zone analytics measure how long each person stays inside a defined area, a stronger signal than foot traffic alone. This tutorial builds the full pipeline in Roboflow Workflows:...
Summary You can automate P&ID symbol detection: an RF-DETR model trained on 3,800 annotated diagrams reaches 99.2% mAP@50 across 11 symbol classes, from gate valves to instrument tags. This tutorial b...
SUMMARY Zero-shot models enable rapid prototyping without labeled data or training, while fine-tuned models provide higher accuracy, faster inference, and production reliability through additional lab...
Summary Retrain a computer vision model when production evidence shows it no longer represents the task: a measured performance decline, changed production images, repeated failure patterns, new requi...
SUMMARY You can build human-object interaction detection without training an interaction model: train RF-DETR to detect workers, forklifts, pallets, and carts (77.5% mAP@50 here), then pass the annota...
Summary To connect computer vision to a PLC, run your model in a Roboflow Workflow that turns detections into a decision (reject_signal = true), then write that value to a PLC tag over OPC UA, Modbus ...
Summary You can automate powder coat defect detection by training RF-DETR on a labeled coating dataset to find craters, orange peel, bubbles, and scratches (74.0% mAP@50 here), then having Gemini 2.5 ...
Summary Defect severity classification means scoring each detection instead of just flagging it: pair a trained RF-DETR model with a Custom Python block that checks bounding-box area, so large defects...
Summary Shop floor data collection is the process of recording what happens during production: unit counts, cycle times, defects, changeovers, downtime, and safety events. You can automate it with cam...
SUMMARY A unified namespace (UNS) is a single hierarchical data model, usually carried over MQTT, where every system in a plant publishes its current state once and every consumer subscribes to the to...