Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif

    800 800 This Week in Machine Learning & AI

    For today’s show, the last in our TrainAI series, I’m joined by Qazaleh Mirsharif, a machine learning scientist working on computer vision at Figure Eight.

    Qazaleh and I caught up at the TrainAI conference to discuss a couple of the projects she’s worked on in that field, namely her research into the classification of retinal images and her work on parking sign detection from Google Street View images. The former, which attempted to diagnose diseases like diabetic retinopathy using retinal scan images, is similar to the work I spoke with Ryan Poplin about on TWiML Talk #122. In my conversation with Qazaleh we focus on how she built her datasets for each of these projects and some of the key lessons she’s learned along the way.

    Happy Birthday 2018!!

    A few weeks ago, at the TWiML AI Summit, I spoke with a listener who shared some interesting ways that his business, a world-leading energy company, has directly benefited from what he’s learned on the podcast. It’s been incredibly exciting to hear stories like this from listeners. To celebrate our second anniversary, We’d really like to hear from you about ways that the podcast has helped you at work or in school or transitioning between the two, how it’s helped you find or connect to resources you’ve found valuable, or educated you about something new.

    You can submit your written comments to twimlai.com/2av, or call us at (636) 735-3658, and leave a voicemail (leave us your name/email, we’ll edit it out!) with your story!

    Interested in the Fast.AI Deep Learning course?

    I’ll be working through the Fast AI Practical Deep Learning for Coders course starting in June and in turn, I’m organizing a study and support group via the Meetup. This is a great course and Fast.ai co-founder Jeremy Howard encouraged our group on twitter noting that groups that take the course together have a higher success rate, so let’s do this!

    Three simple steps to join:
    1. Sign up for the Meetup, noting fast.ai in the “What you hope to learn” box
    2. Using the email invitation you’ll receive to join our Slack group, and
    3. Once you’re there joining the #fast_ai channel.

    Thanks to our sponsor!

    I’d like to send a shoutout to our friends over at Figure Eight for their continued support of the show, and their sponsorship of this week’s series which all took place at Train AI. Figure Eight is the essential Human-in-the-Loop AI platform for data science and machine learning teams. The Figure Eight software platform trains, tests, and tunes machine learning models to make AI work in the real world. Learn more at www.figure-eight.com.

    About Qazaleh

    Mentioned in the Interview

    “More On That Later” by Lee Rosevere licensed under CC By 4.0

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