We used their DC proxies and Residential proxies. Resi proxies were having quite low success rate. We had to use resi solution from other proxy providers. Unblocker didn't work well either also it was way too expensive.
Based on our record, OpenCV should be more popular than Bright Data. It has been mentiond 60 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Sorry I had forgotten who it was. Now time to name and shame: the culprit calls itself https://brightdata.com/. - Source: Hacker News / 20 days ago
Exactly that. It's an arms race between companies that offer a large number of residential IPs as proxies and companies that run unauthenticated web services trying not to die from denial of service. https://brightdata.com/. - Source: Hacker News / about 1 month ago
Reddit Recap is an application that scrapes subreddits using BrightData and generates concise summaries every two hours. These summaries are then converted into audio briefings, all accessible through a beautiful web app, allowing users to effortlessly stay informed about their favorite communities. - Source: dev.to / 6 months ago
Make sure to sign up on BrightData. Also complete the steps for the initial setup for Proxies & Scraping Infrastructure and Web Scraping API. Please make a note on the WSS Browser Credential, Webscraper Api Token. - Source: dev.to / 6 months ago
So my goal here is creating a web scraper and web searcher using bright and gemini openai compatible model to make cursor composer more smarter with functionality like web search and web scrape. - Source: dev.to / 6 months ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 2 months ago
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 6 months ago
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 7 months ago
This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 9 months ago
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Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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NumPy - NumPy is the fundamental package for scientific computing with Python
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Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.