目标检测

1. requirements

  • Cloud based or device based deployment

2. ML task & pipeline

3. data collection

4. model

two-stage: region proposal and object classification

  • generates a set of potential object bounding boxes

  • takes the proposed regions from the RPN and classifies them into different object categories

one-stage

  • perform both region proposal and object classification in a single step

nms

5. evaluation

  • Precision based on IOU threshold

  • AP: avg. across various IOU thresholds

  • mAP: mean of AP over C classes

6. deploy & serving

7. 问答

  • 过杀和漏检：基于遗传算法的帕累托优化

Reference

Previous朋友推荐Next去重复性/版权检测

Last updated