The Edge Impulse studio lets you capture data from real devices to build TinyML models easily. Set a label, press 'Record', and the raw sensor data is captured. However, some data is hard to capture. If you're looking to detect a discrete event - like glass breaking - it's hard to time the recording just right. Or if you want to detect keywords it's much easier to just say the keyword 60 times in a row, rather than making separate recordings. To solve this we have now added the ability to crop and split data straight from the studio.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/crop-split-data/