Testing A Computer Vision Model In 10 Seconds Or Less

In February 2022, Lukas Kelsey-Friedemann announced the integration of the Roboflow inference widget into the core Roboflow app, enhancing the ease of testing computer vision models. The widget, initially launched in December on Roboflow Universe, allows developers to test trained models by dragging and dropping images to see model predictions, including bounding boxes, labels, and confidence scores, along with API-generated JSON output. The new feature complements the Roboflow Playground, where users can explore various open and closed source models from companies like Meta and Google for free. Users can test models by uploading images to the versions tab of their project or dropping images directly into the project to evaluate the latest model version. Additionally, alternative testing methods are available, such as using curl commands, example code snippets, web apps, and deploying models to devices like NVIDIA Jetson and Luxonis OAK. The post invites users to share open-source models on Roboflow Universe and stay updated with the latest computer vision developments.