What is the best model and approach to identify a car model? Is a YOLO a good choice for that or is it better to user YOLO or RCNN or darknet for object detection and then use somethin like resnet152 to predict the exact model?

• dlstreamer

  2 498 3.3 C++

  This repository is a home to Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework. Pipeline Framework is a streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines.

  

If you want object detection, classification (car models in your case) as well as tracking them, before getting your feet wet on model selection viz., Yolo, RCNN etc, check out Intel DLStreamer which uses GStreamer as the back end.... It uses Intel OpenVINO for inferencing and custom plugins for detection/classification and tracking also.... Intel has a big model zoo of pre-trained models, which can do the task of identifying the car models..... https://github.com/dlstreamer/dlstreamer

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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