4 ms·
Sid, Cofounder @ Playment here. Algorithms are only as good as the data that trains them. Besides having basic product features such as building bounding boxes
by siddharthmall05 10y ago
Sid, Cofounder @ Playment here.
Algorithms are only as good as the data that trains them. Besides having basic product features such as building bounding boxes on the images, identifying objects from images, context based text classification etc, we could also support multi step complex workflow. For example, for self driving cars, from a given image we could first find out if there are pedestrians present or not, then # of such pedestrians, then build boxes around it and finally tag them as males and females. To make it even more simple for our customers, we take over the complete ownership of building such complex workflows and ensuring quality.
- mshubham1009 10y agoAre you guys fixed on some specific usecases or trying to take care of almost all kinds of workflows?
- siddharthmall05 10y agoWorkflows have been built in such a way that it could handle multiple action on a single input. For example, we currently help a leading e-commerce based in India to do quality check o f the listings that are uploaded before they go live. The workflow involves more than 10 checks (image is blurry or not, background is white or not, description matches images, attribute check and so on) to be done on >3 images/product. All of this is handles by 1 workflow and output is given in few minutes. Our platform can currently support services like image tagging, transcription, text tagging and bounding boxes. And workflows could be built using combination of these services. At the end of the day, we have more than 100,000 skilled workers. We would love to hear more about various use cases that people would need definitely need humans for. :)