

Makeml
Overview :
MakeML is a development tool that allows users to build image object detection neural networks without writing any code. It provides a simple and intuitive graphical interface, allowing users to upload training image sets, draw bounding boxes, set parameters, and train an efficient object detection model. The trained model can then be exported in CoreML format for use in iOS apps. MakeML addresses the pain points of high barriers to neural network development, enabling powerful deep learning capabilities without any machine learning or programming knowledge.
Target Users :
["Mobile App Developer","Quickly Build Object Detection Features","Reduce Time and Cost of Training Object Detection Models","Use Deep Learning without Programming Knowledge"]
Use Cases
Use MakeML to train a model for detecting dogs and deploy it in a dog grooming app to recognize different breeds of dogs
Use MakeML to train a model for detecting products and deploy it in a warehouse management system to calculate product numbers
Use MakeML to train a model for detecting road signs and assist driverless cars in recognizing road signs
Features
Build Object Detection Models without Coding
Support Real-time Object Detection on Images and Videos
One-click Export to CoreML Models
Export ONNX Models for Deployment on Other Platforms
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