Ask HN: Labeling new datasets as a bootstrapped startup
Hi all. Im trying to validate and PoC an idea for a tool/product that centers around the complexities of local city traffic signage. The central idea is to simplify parking in cities by highlighting things on a map like "Street Cleaning Schedules", "Tow Zones with variable parking times", "Parking unavailable due to long-term construction" etc. This product will require some form of Data analysis and ML. The initial dataset I was planning to use was Google street views for larger cities and their satellite towns. My question is, as a lean bootstrapped idea, what services are available to me in order to help label data that won't break the bank? This is not proprietary or overly complicated data but it can require several forms of labeling. Im thinking just the basics to start such as "Has street sign (yes/no)", "Street Cleaning sign (yes/no)" (if has a street sign is Yes), etc. Eventually I'll need to feed that labeled data into image processing pipelines that can extract what the signs actually enforce. I know there are various companies out there like AWS Turk and others that employ teams to do this but Im not sure I want to sign an AWS contract before I've even validated the idea. Has anyone used these services before? If not, what are the alternatives? All help is so much appreciated. Thanks in advance! 4 comments on Hacker News.
Hi all. Im trying to validate and PoC an idea for a tool/product that centers around the complexities of local city traffic signage. The central idea is to simplify parking in cities by highlighting things on a map like "Street Cleaning Schedules", "Tow Zones with variable parking times", "Parking unavailable due to long-term construction" etc. This product will require some form of Data analysis and ML. The initial dataset I was planning to use was Google street views for larger cities and their satellite towns. My question is, as a lean bootstrapped idea, what services are available to me in order to help label data that won't break the bank? This is not proprietary or overly complicated data but it can require several forms of labeling. Im thinking just the basics to start such as "Has street sign (yes/no)", "Street Cleaning sign (yes/no)" (if has a street sign is Yes), etc. Eventually I'll need to feed that labeled data into image processing pipelines that can extract what the signs actually enforce. I know there are various companies out there like AWS Turk and others that employ teams to do this but Im not sure I want to sign an AWS contract before I've even validated the idea. Has anyone used these services before? If not, what are the alternatives? All help is so much appreciated. Thanks in advance!
Hi all. Im trying to validate and PoC an idea for a tool/product that centers around the complexities of local city traffic signage. The central idea is to simplify parking in cities by highlighting things on a map like "Street Cleaning Schedules", "Tow Zones with variable parking times", "Parking unavailable due to long-term construction" etc. This product will require some form of Data analysis and ML. The initial dataset I was planning to use was Google street views for larger cities and their satellite towns. My question is, as a lean bootstrapped idea, what services are available to me in order to help label data that won't break the bank? This is not proprietary or overly complicated data but it can require several forms of labeling. Im thinking just the basics to start such as "Has street sign (yes/no)", "Street Cleaning sign (yes/no)" (if has a street sign is Yes), etc. Eventually I'll need to feed that labeled data into image processing pipelines that can extract what the signs actually enforce. I know there are various companies out there like AWS Turk and others that employ teams to do this but Im not sure I want to sign an AWS contract before I've even validated the idea. Has anyone used these services before? If not, what are the alternatives? All help is so much appreciated. Thanks in advance! 4 comments on Hacker News.
Hi all. Im trying to validate and PoC an idea for a tool/product that centers around the complexities of local city traffic signage. The central idea is to simplify parking in cities by highlighting things on a map like "Street Cleaning Schedules", "Tow Zones with variable parking times", "Parking unavailable due to long-term construction" etc. This product will require some form of Data analysis and ML. The initial dataset I was planning to use was Google street views for larger cities and their satellite towns. My question is, as a lean bootstrapped idea, what services are available to me in order to help label data that won't break the bank? This is not proprietary or overly complicated data but it can require several forms of labeling. Im thinking just the basics to start such as "Has street sign (yes/no)", "Street Cleaning sign (yes/no)" (if has a street sign is Yes), etc. Eventually I'll need to feed that labeled data into image processing pipelines that can extract what the signs actually enforce. I know there are various companies out there like AWS Turk and others that employ teams to do this but Im not sure I want to sign an AWS contract before I've even validated the idea. Has anyone used these services before? If not, what are the alternatives? All help is so much appreciated. Thanks in advance!
Hacker News story: Ask HN: Labeling new datasets as a bootstrapped startup
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March 06, 2020
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