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Build a Roboflow Workflow that detects carton damage, crops regions of interest, and stitches them into numbered collages for Gemini inspection. Learn to retain ROI mappings, validate findings, improve crop quality, and compare token costs with separate requests for manufacturing quality inspection.
Build apps that see the world, understand what’s happening, and take action. Roboflow Agent is an assistant for computer vision that takes you from idea to working solution, from choosing models to plugging the system into your business.
Gemini 4 Argon is now in Roboflow. Use it in Auto Label to label hundreds of images for training a fast, specialized model, or add it to a Workflow as the step that reads text and answers questions about what your cameras capture.
Learn how to pre-filter images before sending them to an LLM. Build a two-stage cascade in Roboflow Workflows where RF-DETR annotates every image, a Continue If gate drops clear negatives, and Gemini checks only the candidates. Cut inference cost without losing the images that matter.
ResNet is a family of convolutional neural networks that uses skip connections to train very deep models. This guide explains how residual blocks work and how ResNet-18 to ResNet-152 compare. It also shows where ResNet fits today and how to train and deploy it in Roboflow.
LLMs with vision support (VLMs) are getting good at recognizing objects, drawing boxes around them, and outlining their shapes. For example, GPT-6 Astra can find hot spots in a thermal image of solar panels. But turning those predictions into an inspection system takes more work.
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