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Founded in 2017, our team at TLVTech is an all-around technology partner that helps businesses scale and conquer their goals. We are a team that’s committed to supporting all kinds of businesses, creating solutions for various functions, and providing insightful consultations to best streamline operations. We let our clients have full focus on their core functions while we handle their tech needs.
With that being said, we’re extremely excited to announce fantastic news that was made possible by our gracious clients. Just recently, TLVTech won The Manifest Company Award for the most reviewed and recommended B2B partner in New York City this 2024! According to their latest report, our team is among the city’s finest leaders for the following services:
The Manifest is a business news and how-to website from Washington DC. The resource is known for its annual award cycle that aims to spotlight outstanding service providers across different industries worldwide. The awardees are chosen based on quantitive criteria that focus on the volume of honest testimonials and endorsements each firm earned over the preceding twelve months.
We’d like to seize this opportunity to express our sincerest gratitude to our invaluable clients. Your support is what helped us unlock this milestone.
On behalf of the entire TLVTech team, thank you so much for believing in us!
Interested to know more about our work? Connect with TLVTech and let’s schedule a meeting for your project.
Fractional CTOs bring affordable, expert technology leadership to startups, as seen in Uber, Dropbox, and Stripe's success stories.
- Google Vision API is a machine learning tool capable of analyzing images, and can identify objects, texts, faces, and landmarks. - The API can be integrated by creating a project on Google Cloud Console, enabling the API for the project, and making REST API calls. - Key functionalities include optical character recognition with translation capability, object and face detection, image analysis, and detection of explicit content. - To get started, install Google Vision API using Python and 'pip install', then setup for image recognition by: creating a Google Cloud Project, enabling Vision API, downloading a private key, and pointing the `GOOGLE_APPLICATION_CREDENTIALS` variable to that key. - Google Vision API operates with a tiered pricing structure; it isn't free, and cost increases with use. - AutoML, integrated in Google Vision API, simplifies model training by automating the process. It works both online and offline, categorizes images, and detects objects. - To code with Google Vision API in Python, libraries have to be imported, followed by creating an instance for image analysis, and then calling the API operations.
