Share your work with Roboflow blog and newsletter readers. Roboflow accepts content contributions showcasing computer vision projects, research, applications, guides, explanations, insights, and tutorials. The contribution process is collaborative so our team will help work with you on your content, provide feedback, and support if you run into issues during your project.
We have a strong preference for showing, not telling. Our goal is for readers to be able to immediately implement and apply what they learn into real-world applications.
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Ampera Racing is a team formed by students from UFSC (Federal University of Santa Catarina) with the objective of developing an electric vehicle every year and promoting the mobility of the future...
Cyclists face dangers like cars on the street, other cyclists, and poorly developed bike lanes. In the last few years, the numbers of cyclists and cars have increased, which has made the structuring of urban areas...
Last night during Super Bowl LV, Mountain Dew ran an ad featuring John Cena riding through a Mountain Dew-themed amusement park. Bottles are scattered all over the scene: neon signs on buildings, in fun house mirrors...
Academic institution email address required. Apply for increased account limits, up to 100k images or 25 train credits. This offer is only available if your work is non-commercial and related to research, academia, or open source projects.
Students and teachers using Roboflow in the classroom are encouraged to contact us for help developing course materials or ensuring account access meets the needs of your class. Hobbyists working on projects can earn additional image and training credits by sharing work in blog posts, videos, forum discussions, and more.
To Apply for Research Credits, login or create a Roboflow Account, create a Public Workspace, then go to Settings > [Your workspace] > Plan & Billing to choose expanded Training access or increased Image limits.
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Proximity sensing approaches with a wide array of sensors available for use in precision viticulture contexts can nowadays be considered both well-know and mature technologies. Still, several in-field practices...
Deep neural networks are rapidly emerging as data analysis tools, often outperforming the conventional techniques used in complex microfluidic systems. One fundamental analysis frequently desired in microfluidic...
Due to an increase in the population, the number of vehicles on the road has been increased. Automatic vehicle detection from these traffic scenes can help with better traffic management. This paper proposes methodology to develop intelligent...