I like that it can process very large image datasets with high accuracy at low latency in real time without any special hardware or training requirements (just Python). It's also quite easy to deploy as an edge solution by simply attaching its docker container onto kubernetes pods/containers already running within your cluster environment. The UI has some UX quirks; they're not too bad but definitely noticeable nevertheless if you are newbie developer looking into implementing their SDKs from scratch - just make sure there'll be someone experienced helping out when using this tool during initial setup of pipeline development phase so troubleshooting issues won't take forever trying find answers yourself! Solving our problem which involved detecting objects across multiple camera views inside warehouses while simultaneously keeping track all related metadata such us product barcode scanning info etc..
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