
v0.7.0
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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.
Roboflow is building the visual cortex for artificial intelligence. Every day, millions of developers around the globe and over half of the Fortune 100 use Roboflow to count cells to accelerate cancer research, improve construction site safety, digitize floor plans, preserve coral reef populations,…
Build a carton inspection agent in Roboflow Workflows with RF-DETR, Gemini, MQTT alerts, and webhook submissions containing JSON and image evidence.
How to diagnose rare-class failures and improve defect detection with active learning, oversampling, targeted augmentation, synthetic data, and RF-DETR evaluation in Roboflow.
Agentic computer vision goes beyond detection by combining perception, reasoning, action, and verification. Learn how to build a practical vision agent in Roboflow Workflows using RF-DETR, tracking, Gemini, structured outputs, and event-driven actions.
Learn how Sobel edge detection finds edges with two 3×3 kernels, how it compares to Canny, and how to run it on images and video in Roboflow.
Our mission is to make the world programmable, and accelerate vision AI into the world. That means building an ecosystem where developers can experiment, founders can turn prototypes into businesses, and people who know a problem firsthand can use vision AI to solve it.
We test GPT-6 Astra on object detection, segmentation, counting, visual reasoning, and video, with examples, benchmark results, and cost comparisons.
GPT-6 Astra can return polygon outlines for any object you describe. They are not pixel masks, so we benchmarked them against SAM 3 and show how to combine the two.
Canny edge detection in five steps (blur, gradients, NMS, thresholds, hysteresis), plus a Roboflow Workflow that runs it on images and video.
GPT-6 Astra has no video input, but a sequence of timestamped frames in one request gets you a timeline of events. Three demos: sports analytics, process monitoring and truck turnaround time.
Gaze tracking explained, plus a working pipeline: detect faces with SAM 3, track them with OC-SORT, and estimate gaze with L2CS-Net in Roboflow.
GPT-6 Astra runs zero-shot detection on your images and returns bounding boxes for the classes you define.
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