jacob5412 / Object-Detection-Comparison

Comparsion of object detection algorithms in Video

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Live Stream Processing Techniques to Assist Unmanned, Regulated Railway Crossings (Comparison of object detection algorithms)

Paper: John J., Varkey M., Selvi M. (2021) Live Stream Processing Techniques to Assist Unmanned, Regulated Railway Crossings. In: Singh M., Tyagi V., Gupta P.K., Flusser J., Ören T., Sonawane V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1440. Springer, Cham. https://doi.org/10.1007/978-3-030-81462-5_17

Algorithms

  1. Mask R-CNN (Source: PyImageSearch)
  2. MobileNet SSD (Source: PyImageSearch)
  3. YOLOv3 (Source: PyImageSearch)
  4. YOLOv2 (Source: pjreddie)
  5. efficientdet (Source: TDS)

Project Structure

  1. Mask R-CNN
  2. MobileNet SSD
  3. YOLOv3
  4. YOLOv2
  5. efficientdet

About

Comparsion of object detection algorithms in Video

License:MIT License


Languages

Language:C 36.2%Language:Jupyter Notebook 33.7%Language:Python 27.4%Language:Cuda 2.3%Language:Shell 0.1%Language:C++ 0.1%Language:Makefile 0.1%Language:PureBasic 0.0%