In this episode, we’ll debunk a popular myth about machines only learning from large amounts of data, and share a use case of applying ML with a small dataset. We’ll focus on the task of object detection to understand machine learning applications in the real world. The overview is based on the experience of MobiDev's ML Team experts. The article on this topic is available at: https://mobidev.biz/blog/object-detection-small-datasets-use-cases-machine-learningSubscribe to MobiDev on social media:Facebook https://www.facebook.com/MobiDev.CorporationTwitter https://twitter.com/MobiDev_00:30 MobiDev, a software development company00:55 Intro01:20 Object Detection use01:45 Machine Learning in Object Detection02:53 Object Detection solution process
04:05 Case Study 
05:32 Phase 1. Image collecting06:15 Image annotations for Object Detection06:42 Phase 2. Faster R-CNN
07:45 One-stage detectors08:43 Feature Pyramid Networks09:05 Amount of data10:15 Phase 3. Exploration of trained models performance11:15 Conclusion