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Make sure the tool’s developers have experienced this challenge with another customer and aren’t brushing away the challenge. ![]() You’d be looking for some slow-downs in retrieving and searching for videos. QUESTION: Dataset size - How will performance degrade when I reach 100,000 videos in a dataset? How about 1 million? Can you provide some examples of how you overcame scale issues? ANSWER: Nothing is completely scale-invariant. Here’s what to look out for, and what to ask: With video, these performance issues are multiplied. TRIMMING VIDEO ON ANNOTATION EDIT FULLIt’s a painful switch, as it has to happen when you are in full production. We’ve encountered far too many businesses that have switched away from internal tools or open-source labelling platform because of poor performance at scale. TRIMMING VIDEO ON ANNOTATION EDIT SERIESThese are tricky to support if you haven’t built the pre-requisites to sustain them and could cost you dearly.Ī series of videos pending annotation in a dataset management interface. Video datasets with thousands of classes, and tens of thousands of attributes? Check. Loading dozens of feature-length videos? Check. We too encounter scale issues, and never stop encountering edge cases. Make sure they are frank about the long term and large-scale performance of their tools. When looking for a labelling partner, you’re putting your business’ deliverables in their hands. TRIMMING VIDEO ON ANNOTATION EDIT PATCHThings crash at scale, and it’s very hard, if not impossible, to patch a product that wasn’t built for your end-goal ambitions. Video Dataset Management: What happens when you’re neck-deep in data? QUESTION: Do you have any users in and what network performance are they reporting? ANSWER: You should be able to test the performance of the service in that region and get some concrete numbers. ![]() ![]() You can also simulate slower connections by heading to the Network tab in your browser’s Developer Tools (CTRL+ALT+I). Test out the performance of video annotations by using a VPN connected to a remote country. On that, users labelling data aren’t always on blazing fast connections. What could load in 2 seconds for you, may take over 60 seconds to load for some users due to their location alone. What this means is: If a demo works well for you while in California on a Macbook Pro, it may not work well for users in Peru. They ensure content is delivered to a user by bringing parts of it closer to them, while (if done right) still remaining GDPR or HIPAA compliant. Slow connection performance: Will it work in every region of the world?ĬDNs are the unsung heroes of SaaS. Most annotation systems run on browsers which will have performance limitations, and can become frustratingly slow when it’s your job as a data scientist or reviewer to look over the quality of work. How quickly can you process videos after upload, and generate exports once they are complete?ĭon’t underestimate performance loss when a video is fully labelled. How smoothly and faithfully do the annotations render when a video is playing? Make sure you are testing this with as many labels as you foresee using in production.ģ.How well does the video play, and how quickly can you jump across parts of the video and play a sequence.There are two elements you want to watch out for: ![]()
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