
NEURAL NETWORKS: PLANT SEEDLINGS CLASSIFICATION
Use a deep learning model to classify plant seedlings through supervised learning.
The Aarhus University Signal Processing group, in collaboration with the University of Southern Denmark, has recently released a dataset containing images of unique plants belonging to 12 different species at several growth stages.
I was provided with a dataset of images of plant seedlings at various stages of growth.
Each image has a filename that is its unique id.
The dataset comprises of 12 plant species.
The goal of the project is to create a classifier capable of determining a plant's species from a photo.
Following were the learning outcomes:
Pre-processing of image data
Visualization of images
Building the CNN
Evaluating the Model
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