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Step by Step Guide To Object Detection Using Roboflow

We will discuss each of the steps in the task of object detection using roboflow.
roboflow
Roboflow is a Computer Vision developer framework for better data collection to preprocessing, and model training techniques. Roboflow has public datasets readily available to users and has access for users to upload their own custom data also. Roboflow accepts various annotation formats. In data pre-processing, there are steps involved such as image orientations, resizing, contrasting, and data augmentations.  The entire workflow can be co-ordinated with teams within the framework. For model training, there’s a bunch of model libraries already present such as EfficientNet, MobileNet, Yolo, TensorFlow, PyTorch, etc. Thereafter model deployment and visualization options are also available hence encompassing the entire state-of-art.  Roboflow is used in various computer vision
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Picture of Jayita Bhattacharyya
Jayita Bhattacharyya
Machine learning and data science enthusiast. Eager to learn new technology advances. A self-taught techie who loves to do cool stuff using technology for fun and worthwhile.
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