Aarzoo Goel

Data Science Skills

Artificial Intelligence	Statistical Modeling	Text Analytics
Visualization	Python

Domain Skills

Health Care

Retail

Dandelions

Category: Domain Usecases

Sub-Category: Agriculture

Use-case Type: Image Classification

Tags: binaryimageclassication,dandelion,image classification

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Note: Certain Model Inferences can take long time for the first run (Warmup) and would get faster with the subsequent inferences. We thank you for your patience.

Use Case Summary

Dandelions (Binary Image Classification)

These are images of dandelions and not-dandelions( grass or other). The goal of this project is a very simple binary image classification model for me to do some "real-world learning".
Initial thoughts and findings: Need lots and lots more images. While the training results in decent accuracy, the validation loss is substantial. My initial 1,200+ images (50% dandelion/50% not) seems woefully small.

Dataset:https://www.kaggle.com/coloradokb/dandelionimages
Dandelions: 635
Other: 627

Model
MobileNetV2

Accuracy
Validation Accuracy: 84% (We will take this as approximate accuracy and model can be more accurate in further studies with more data.)