What is the best way to create dataset for my own machine learning problem












0














I am new to the machine learning world, i want to create my own dataset for computer vision body measurement.



I have this program that can create 3d bodies based on several body measurements such as (height, waist size etc).



My questions is, should i use real human measurement data (~2400 data)? Or should i create a continuous measurement data (eg height="[100-200 with 5cm interval increase])?



what are the pros and cons for each of these choices?










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  • Your question is not a programming question as described in stackoverflow.com/help/on-topic .
    – quant
    Nov 12 '18 at 22:03
















0














I am new to the machine learning world, i want to create my own dataset for computer vision body measurement.



I have this program that can create 3d bodies based on several body measurements such as (height, waist size etc).



My questions is, should i use real human measurement data (~2400 data)? Or should i create a continuous measurement data (eg height="[100-200 with 5cm interval increase])?



what are the pros and cons for each of these choices?










share|improve this question






















  • Your question is not a programming question as described in stackoverflow.com/help/on-topic .
    – quant
    Nov 12 '18 at 22:03














0












0








0







I am new to the machine learning world, i want to create my own dataset for computer vision body measurement.



I have this program that can create 3d bodies based on several body measurements such as (height, waist size etc).



My questions is, should i use real human measurement data (~2400 data)? Or should i create a continuous measurement data (eg height="[100-200 with 5cm interval increase])?



what are the pros and cons for each of these choices?










share|improve this question













I am new to the machine learning world, i want to create my own dataset for computer vision body measurement.



I have this program that can create 3d bodies based on several body measurements such as (height, waist size etc).



My questions is, should i use real human measurement data (~2400 data)? Or should i create a continuous measurement data (eg height="[100-200 with 5cm interval increase])?



what are the pros and cons for each of these choices?







machine-learning dataset






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share|improve this question











share|improve this question




share|improve this question










asked Nov 12 '18 at 21:53









Kaiyue WangKaiyue Wang

628




628












  • Your question is not a programming question as described in stackoverflow.com/help/on-topic .
    – quant
    Nov 12 '18 at 22:03


















  • Your question is not a programming question as described in stackoverflow.com/help/on-topic .
    – quant
    Nov 12 '18 at 22:03
















Your question is not a programming question as described in stackoverflow.com/help/on-topic .
– quant
Nov 12 '18 at 22:03




Your question is not a programming question as described in stackoverflow.com/help/on-topic .
– quant
Nov 12 '18 at 22:03












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