In order to maximize online sales, car dealerships rely on multiple car images that can be presented in a way that drill down into the features of a car that their customers care most about. AutosnapLive provides enhanced vehicle images to car dealers based on computer vision modeling.
Its current computer vision partner used time intensive manual processes and could not provide the company with images fast enough to meet customer requirements.
We would have to collect huge amounts of sample data - up to 500 images for each model and Google Drive them to our vendor. The vendor took 5 or 6 days sometimes to load a single model and train it with a good level of accuracy and that was just too slow.”
AutosnapLive turned to Clarifai because of its end-to-end platform and its easy-to-use, self-serve UI and tools. With limited human resources, Autosnap needed a platform with Clarifai’s best-in-class functionality and simple to learn, intuitive toolsets and found that leading vendors like Amazon Rekognition and Google Vision didn’t offer these.
One feature that came as a pleasant surprise to the company was the ability to annotate using Clarifai’s AI assisted data labeler. Clarifai’s Data Labeler is seamlessly built into the Clarifai platform and has allowed the company to shorten its time spent on labeling and speeding model development.
The company plans to take advantage of Clarifai’s automated workflow option which will allow them to run through multiple models in one call. They plan to run some of their existing models through the workflow, e.g., color model, size model and class model and then create a custom model by combining them to get different results.
So far, everything AutosnapLive has done has been self-serve through the Clarifai user interface. Going forward the company plans to partner with Clarifai’s research and modeling team to explore ideas and rebuild some of their modeling requirements.
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