Image classification with CNN_classifier
End-to-end MLOPS project design (DVC)
Inspired by krishnaik videos on end-to-end ML projects.
The project workflow is as follows
- Project Template creation
- Project setup requirements and installations
- Logging, Utils and Exception
- All components on Notebook Experiments
- All components Modular code implementation
- Training pipeline
- DVC tool - for Pipeline Tracking and Implementation
- Prediction pipeline
- Docker
- Final CI/CD deployment (AWS and Azure)
The project motivation is classifying fowl with coccidiosis through image analysis.The classifier used is CNN.
Some sneak peak to the fowl disease.
Coccidiosis is caused by parasites that infect the cells lining an animal’s intestine. Animals get infected by swallowing the parasites. This can happen by eating infected pasture and feed, drinking contaminated water, or by grooming themselves.