Global-Wheat-Detection

Building a AI model to identify wheat heads using image analysis

The Entire Process of Model Building

Let's take a moment to understand how we are going to design a model for the problem we have at hand. We can divide this process broadly into 4 stages. Each stage requires a certain amount of time to execute:

1. Loading and pre-processing Data
	a. Loading
	b. EDA
	c. Dataset Preprocessing
2. Defining Model architecture
	a. Library used
		b. Transfer learning
3. Training the model 
	a. Sample size used 
		b. Using platform - GCP, AWS, Kaggle - GPU/TPU
4. Estimation of performance
		a. Validation using out of box sample set 
		b. Validation using kaggle for model built on entire data