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A data science model which predicts whether there is a cactus in a given aerial image or not

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Aerial-Cactus-Identification

This is the notebook containing my model for the kaggle competition stated above. Accuracy - 99.6 %

To assess the impact of climate change on Earth's flora and fauna, it is vital to quantify how human activities such as logging, mining, and agriculture are impacting our protected natural areas. Researchers in Mexico have created the VIGIA project, which aims to build a system for autonomous surveillance of protected areas. A first step in such an effort is the ability to recognize the vegetation inside the protected areas. In this competition, you are tasked with creation of an algorithm that can identify a specific type of cactus in aerial imagery.

Dataset - Download from Kaggle

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A data science model which predicts whether there is a cactus in a given aerial image or not

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