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Qestion
What’s the best way to collect a large and diverse image dataset for a computer vision project? I’m trying to avoid relying on the same limited sources and would like to hear how others handle this.
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1 Reply
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Relying on public datasets often introduces bias, so sourcing custom data is key. Combining ethical web scraping with custom crowdsourcing builds robust models, and partnering with Keymakr ensures tailored image sourcing across specific edge cases. Diversity in inputs makes training far more reliable overall.
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