Malt - The fastest way to turn videos into training data

Malt - Model assisted labeling toolkit

•3yr ago

Malt empowers hackers to create labeled object detection datasets fast! You can quickly navigate through a video to find objects to label, and most impressively you can use a pre-trained TflowLite model to automatically place a bounding box around images!

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Malt - Model assisted labeling toolkit

Maker

I built this tool after spending too much time finding and labeling training images for Tensorflow. A common workflow while building new object detection models is to convert a video to a bunch of images, find the images with the object I am trying to label, train a model, then play the model back through a video to visually see what angles are not performing well. Malt incorporates this entire workflow into a single tool. It is particularly helpful to have the pre-trained model auto-label the images and then quickly adjust the bounding boxes that do not tightly fit the object. This project can be installed with pip through PyPi. This is a quick demo of the product:

I hope others will find this tool useful and will be able to provide feedback. I am launching Malt as a beta application. Version 1.0 will have a cleaned-up UI and a few more features.