Small Dataset-Based Object Detection: How Much Data is Enough?
Oct 5, 2021 ·
12m 36s
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Description
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...
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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-learning
Subscribe to MobiDev on social media:
Facebook https://www.facebook.com/MobiDev.Corporation
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00:30 MobiDev, a software development company
00:55 Intro
01:20 Object Detection use
01:45 Machine Learning in Object Detection
02:53 Object Detection solution process
04:05 Case Study
05:32 Phase 1. Image collecting
06:15 Image annotations for Object Detection
06:42 Phase 2. Faster R-CNN 07:45 One-stage detectors
08:43 Feature Pyramid Networks
09:05 Amount of data
10:15 Phase 3. Exploration of trained models performance
11:15 Conclusion
show less
The article on this topic is available at: https://mobidev.biz/blog/object-detection-small-datasets-use-cases-machine-learning
Subscribe to MobiDev on social media:
Facebook https://www.facebook.com/MobiDev.Corporation
Twitter https://twitter.com/MobiDev_
00:30 MobiDev, a software development company
00:55 Intro
01:20 Object Detection use
01:45 Machine Learning in Object Detection
02:53 Object Detection solution process
04:05 Case Study
05:32 Phase 1. Image collecting
06:15 Image annotations for Object Detection
06:42 Phase 2. Faster R-CNN 07:45 One-stage detectors
08:43 Feature Pyramid Networks
09:05 Amount of data
10:15 Phase 3. Exploration of trained models performance
11:15 Conclusion
Information
Author | MobiDev |
Organization | MobiDev |
Website | - |
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