Customer stories

With Ultralytics, we’ve been able to improve speed with higher accuracy compared to other models. The compatibility with various frameworks - CUDA, TensorRT, ONNX, OpenVINO - has been super helpful in fine-tuning the weights in R&D and then optimize them for whatever hardware we have.

"Normally, training a machine learning model takes a huge amount of time, and you often have to wait two to three days for the inference and then decide if the accuracy is good enough. But with Ultralytics YOLO, we can train the model in a single day, make decisions quickly, and rapidly learn from the results. Once trained, we can also enhance the dataset to further improve the performance."

“At ALYCE, leveraging Ultralytics has been a game-changer for training our models, enabling us to enhance data accuracy and deliver unparalleled quality to our clients and assist them in their sustainable mobility projects.”

"They transform visual data into actionable insights with exceptional accuracy and efficiency. By combining Ultralytics YOLOv8 with the IMX500 sensor from SSS (Sony Semiconductor Solutions Corporation), this partnership brings powerful, on-device AI capabilities that enhance real-time decision-making for businesses relying on high-performance visual data processing."

“We’re just scratching the surface. With Ultralytics YOLO, we have the foundation to develop solutions that are not only safer but smarter, enabling real-time insights that can save lives and transform the way industrial safety is managed.”

"Integrating Ultralytics YOLO into our Instabase AI platform has been an easy and painless process. It helped accelerate the release schedule and enable us to deliver visual object recognition capabilities to our customers."

"Ultralytics’ YOLO models are game-changers in the AI industry. The YOLOv5 and YOLOv8 models are favored by developers for their ease of use, state-of-the-art performance, and accuracy. Paired with OpenVINO, these models offer the potential for the best out-of-the-box performance on modern CPUs."