The project implements self-learning image classification system. It allows to post an image and get the category of the image. If the image is not recognized then the category will be inferenced after processing all non-recognized images.

1. Pytorch (Inference engine, should be Triton)
2. Milvus (Zilliz Cloud)
3. sklearn
4. FastAPI

https://www.kaggle.com/datasets/alessiocorrado99/animals10 https://github.com/yashenkoxciv/animals_10_uploader

docker run -d -p 27017:27017 mongo:6.0.5

docker run -it --rm --name rabbitmq -p 5672:5672 -p 15672:15672 rabbitmq:3.11-management

bash send_n_images.sh /Users/artemyashenko/filestack-uploader/gatto_100.txt