In this series of blogs, we will go through the object detection task in computer vision. It covers some basic image processing concepts, benchmark metrics and datasets, as well as typical solutions.
This blog series contain four parts. Please feel free to skip any part you’ve already been familiar with.
[Part 1]: Basic Concepts
[Part 2]: Benchmark Metrics and Datasets
[Part 3]: Typical Solutions
Part 3a: Traditional Methods
Part 3b: Deep Learning Solutions: Two-stage Detectors
Part 3c: Deep Learning Solutions: One-stage Detectors
[Part 4]: Bottlenecks and Future Trends