Interested in learning how to use machine learning to detect different objects? This IQT Labs tutorial walks through the process of using the Tensorflow 2.x Object Detection API to build an airplane detector. Watch as we demonstrate all of the different steps involved and provide tips on how to configure everything. All of the code we use is available for you to try it yourself too!

For the tutorial we will be doing transfer learning, based on a pretrained MobileNet v2 SSD model. The training dataset is assembled using Voxel51 and the labels are added using LabelBox.

Instructions and Jupyter Notebooks found here: https://github.com/IQTLabs/SkyScan/tree/main/ml-model

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