remove.bg Reviews

1. Viking

   | PM at IoT01 | about 3 years ago

   Erase bg easy,but too expensive..

   🏁 Competitors: PixMiller, Removal.ai

   👍 Pros:    Quality

   👎 Cons:    Expensive

Scikit-learn Reviews

remove.bg mentions (293)

• Comment your OCs and I might just draw them

  Thats supposed to be teeth btw, remove.bg just counted that as a bg even tho it was a png. Source: 7 months ago

• I have removed a background via API but how do I access the background file with the image cut out? Is there another way of doing that?

  I have a folder of 50 images and I want to use their backgrounds to train a SD model. I want to cut out the object and inpaint the removed portion. I have tried using the remove.bg api, which does a good job of removing the object, but I dont have the background file. Is there another way of doing this? My goal is to end up with 50 images of the backgrounds that have been inpainted over where the object used to... Source: 10 months ago

• The best AI tools for everyday use and productivity (that are actually free to use)

  Remove.bg: One of the few image AI tools I use regularly. Remove.bg uses simple AI to remove backgrounds from your images. It's very simple, but something I end up doing surprisingly often editing product images, etc. Source: 11 months ago

• What is the coolest web app you've discovered that's free with no signup?

  Remove.bg W for easily copy pasting an image and removing the background. Source: about 1 year ago

• Yuri holding a book (Sprite Edit) (free to use)

  Alright ! Thanks, already removed the background, the site is called remove.bg. Source: about 1 year ago

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 17 days ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago