Image classification of 102 category of flowers

yapan sunny2309

Project was about building and image classifier based on 8k+ images which were consisting of 102 different flower categories. I build a classifier which classifies images with 92% accuracy and then tested model on another 2k+ images which were unlabeled. Task was completed in dividing labelled flowers in various folders and then training on them using pytorch.

image of username sunny2309 Flag of India Surat, India


Website: [login to view URL] A skilled software developer with 7+ years of experience working in various technologies like Python(4+ year) and Java(2.7 year). I have handled US and Canadian Banking Clients throughout my career. I have experience developing web as well as desktop application. I am looking for projects with role as Python Developer/Data Scientist/Machine Learning Engineer. Below is list of skills on which i have good hands-on: - Languages: Python, R Programming. - Tools: Jupyter Notebook, PyCharm, Eclipse, R Studio, Github, Git, Tortoise SVN. - Database: Oracle, MySQL. - Frameworks: Django, Flask, Struts, Spring, Hibernate - Other: Amazon AWS, Google Cloud Engine, Algorithms, Software Design Patterns I can invest around 30 hours per week. Please feel free to contact me.

$20 USD/sa

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