With 20,000 class object detection, it’s to be very very very attentive.
How to use ultra-accurate machine learning object detection and segmentation model.
It uses a machine learning model called Detic in Python to detect it in detail.
We want to detect and sort dense objects one by one, which cannot be detected by conventional object detection.
The latest model by FaceBook Reseach is amazing
The model called Detic announced in 2022 can detect 20,000 class objects and has high accuracy.
how to use
We can make inferences with the official Colab.
Basically, all you have to do is clone the repository, install the required modules, initialize the Predictor from the configuration file and weights, and add the image to it.
predictor = DefaultPredictor(cfg)
outputs = predictor(im)Applications will also evolve
With the model like this available for free, applications will evolve steadily.
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