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This is a guest by Michele Palmia of @EyeEm.
We’ve now been running computer vision models in production at EyeEm for more than three years - on literally billions of images. As an engineer involved in building the infrastructure behind it from scratch, I both enjoyed and suffered the many technical challenges this task raised. This journey has also taught me a lot about managing processes and relationships with different teams, tasks of an especially challenging nature in a dynamic startup environment.
What follows is an attempt to consolidate the computer vision pipeline history at EyeEm, some of the challenges we had to face, some of the learning we’ve gained, and a glimpse into its future.
Index the world’s photos
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