• 14 min read
mAP@0.5 vs. mAP@0.5:0.95: What’s the Difference?
mAP@0.5 uses a single 0.50 IoU threshold; mAP@0.5:0.95 averages ten thresholds from 0.50 to 0.95. See how each is calculated and when to use it.
• 7 min read
How to Build an AI Basketball Shot Evaluator
Build a local basketball shot tracker using an RF-DETR detector and zero-shot keypoint tracking. Learn how to calibrate distance from the rim, detect shot release with pose data, handle net occlusions using physics, and render live mechanics overlays onto your video.
• 7 min read
Top Models for AI Data Labeling
Labeling is the slowest part of building a vision model. The fix is letting a foundation model take the first pass while a human reviews. We benchmarked every top vision model on object detection to find which ones you can trust with the job, and how to pick between them.
• 6 min read
How to Build an AI Video Car Damage Inspector
Upload one slow walkaround video of a rental car and get back a signed, timestamped report of every scratch and dent, with reflections filtered out by physics. Here's how to build it with RF-DETR, Roboflow Workflows, and Gemini.
• 7 min read
How Cloud Connected AI Products Run On-Prem
The Purdue Model explained: every level from PLC to DMZ, the companies that run on it, and how AI deploys into segmented OT networks.
• 6 min read
Qwen3.8-Max for Vision: Benchmarks, Strengths, and Real-World Tests
Qwen3.8-Max tops our VLM object detection benchmark and performs strongly on counting and reasoning. We test its strengths, limits, speed, cost, and deployment.
• 10 min read
How to Detect Small Objects in Drone Imagery
Train RF-DETR to detect people and vehicles that appear small in aerial imagery, then build a Roboflow Workflow that counts detections and uses Gemini to inspect the scene.
• 9 min read
Dwell Time and Zone Analytics with Vision AI
Measure dwell time and zone analytics from any camera: train RF-DETR, track people with ByteTrack, and time each visitor inside a defined zone.
• 9 min read
P&ID Symbol Detection for Engineering Drawing Digitization
Detect common symbols in piping and instrumentation diagrams, then use OCR to extract text from instrument-related regions.
• 27 min read
Zero-Shot vs. Fine-Tuned Models: When to Train Your Own
Zero-shot vs fine-tuned models: prototype with SAM 3, auto-label your dataset, then train RF-DETR for the accuracy and speed production needs.
• 9 min read
How Often Should You Retrain a Computer Vision Model?
Learn how to recognize performance decline, data drift, new edge cases, and other signs that indicate a computer vision model needs retraining.
• 18 min read
Human-Object Interaction Detection with RF-DETR
Build human-object interaction detection without interaction labels: RF-DETR finds people and forklifts, Gemini classifies safe vs unsafe, in Roboflow.
• 14 min read
Computer Vision PLC Integration: Turn Detections into Machine Actions
Computer vision PLC integration turns detections into real machine actions. Learn how cameras, RF-DETR, Roboflow Workflows, edge inference, and protocols such as OPC UA, Modbus TCP, and EtherNet/IP connect vision systems to PLCs for reject, stop, alert, and quality-control tasks.
• 9 min read
Powder-Coat Defect Detection
Detect craters, orange peel, bubbles, and scratches with RF-DETR, then use Gemini 2.5 Pro to summarize the visible defect and its apparent severity in the annotated image.
• 5 min read
Building a Pool Monitor with Raspberry Pi and Roboflow
How to use a Raspberry Pi, a phone camera, and a Roboflow classification model to know when a pool needs a refill.
• 10 min read
Machine-Vision AI for Surface Defect Severity Assessment
Build a computer vision pipeline for identifying surface defect severity and evaluating product quality.
• 23 min read
Shop Floor Data Collection: How to Automate It with Computer Vision
Shop floor data is usually typed into forms after the fact. Cameras already see every unit, defect, and stoppage. Learn how to turn those observations into timestamped production events with RF-DETR, Roboflow Workflows, and Vision Events, including a working cycle-time example.
• 9 min read
What Is a Unified Namespace? Where Vision AI Fits in the UNS
A unified namespace gives every plant system one data model. Roboflow Workflows publish camera detections as MQTT events any MES can read.
• 10 min read
Retail Object Detection with RF-DETR
Train a model to detect empty shelf spaces and automate restocking decisions.
• 22 min read
Production Line Monitoring With Camera AI
Build production line monitoring with camera AI: train RF-DETR to detect defects, count bottles, and trigger alerts with Roboflow Workflows.
• 13 min read
How to Make Automatic Highlight Reels from Kids' Soccer Games
Upload a soccer game, click your kid once, and get back a highlight reel with every play they were part of. Two RF-DETR models trained in the Roboflow UI handle detection and tracking, and a local Python pipeline reads jersey numbers, finds the goals, and cuts the clips.
• 6 min read
Run RF-DETR in NVIDIA DeepStream on Jetson
From pretrained weights to live multi-camera inference on a Jetson Orin NX: TensorRT engine build, the custom bbox parser DeepStream needs, and per-class colors with a pyds probe.
• 8 min read
Hog Ring Detection with Computer Vision
Detect visible hog rings with RF-DETR, compare their positions with predefined attachment zones, and use Gemini 2.5 Pro to generate an automotive seat inspection summary.
• 4 min read
Gemini 3.6 Flash for Vision: Evaluation and Benchmarks
Cheaper and faster than Gemini 3.5 Flash, and the best model we tested on video. Object detection is the one real step back.
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