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Bounding Boxes for Machine Learning and Computer Vision Datasets Reviews & Product Details

Bounding Boxes for Machine Learning and Computer Vision Datasets Overview

What is Bounding Boxes for Machine Learning and Computer Vision Datasets?

Data labeling services for bounding boxes in machine learning and computer vision datasets: draw a box around an area of interest and annotate it with a category from upto 10 categories.

Bounding Boxes for Machine Learning and Computer Vision Datasets Details
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Product Description

Data labeling services for bounding boxes in machine learning and computer vision datasets: draw a box around an area of interest and annotate it with a category from upto 10 categories.


Seller Details
HQ Location
Atlanta, GA
Description

AnnotateIt Inc is a technology company that specializes in developing annotation tools and solutions for digital content. Their offerings are designed to help users efficiently highlight, comment, and collaborate on various types of documents and online materials. By integrating into existing workflows and platforms, AnnotateIt aims to enhance productivity and streamline the process of sharing insights within teams or educational environments.

Recent Bounding Boxes for Machine Learning and Computer Vision Datasets Reviews

Verified User
U
Verified UserMid-Market (51-1000 emp.)
4.0 out of 5
"Bounding boxes for ML and CV data sets works great for generating training data"
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 ...

Bounding Boxes for Machine Learning and Computer Vision Datasets Media

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1 Bounding Boxes for Machine Learning and Computer Vision Datasets Reviews

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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.

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