G2

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

9/24/2021

"Bounding boxes for ML and CV data sets works great for generating training data"

4/5

What do you like best about Bounding Boxes for Machine Learning and Computer Vision Datasets?

Bounding boxes for ML and CV datasets is a big need to generate training data. It makes it easy to hand off the generation of training data to the product and get back images with bounding boxes and plug them into the training data for custom use cases. Review collected by and hosted on G2.com.

What do you dislike about Bounding Boxes for Machine Learning and Computer Vision Datasets?

Accuracy of bounding boxes could be an issue - but it isn't seen much yet. So far it is giving pretty high accuracy with bounding boxes. Review collected by and hosted on G2.com.

What problems is Bounding Boxes for Machine Learning and Computer Vision Datasets solving and how is that benefiting you?

Using datasets from different domains, such as fashion datasets to train different models to learn different kinds of fashion trends. The bounding boxes are very useful to generate training dataset to feed into computer vision models and also machine learning models to train classifiers to detect images correctly. Can also use the bounding boxes to crop images. Review collected by and hosted on G2.com.