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We were looking for a scalable way to moderate all our images and text messages. Very happy with the Sightengine integration: very flexible in terms of how and what you filter, works great for us! We started with "standard" moderation and then created our own workflow with all our rules (community rules & guidelines). They do automated moderation only from what I understand.
Based on our record, Keras seems to be a lot more popular than Sightengine. While we know about 31 links to Keras, we've tracked only 2 mentions of Sightengine. 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.
Sightengine | Remote | Multiple roles | Full time At Sightengine (https://sightengine.com) we build AI models for Trust & Safety. This includes multi-modal content moderation and abuse detection We are hiring for multiple roles. We are growing the Computer Vision team right now, looking for software engineers / ML engineers with a solid experience. https://sightengine.com/careers. - Source: Hacker News / 30 days ago
So I was curious and did a google, it seems https://sightengine.com/ can do this and with a tiny bit of python it also seems doable. Source: over 1 year ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 7 days ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 16 days ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 10 months ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: 12 months ago
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / about 1 year ago
PicPurify - Real-time image moderation API which accurately detects inappropriate images containing specific elements like porn, nudity, violence, drugs, weapons... Our goal is to identify those images in user generated content and remove them automatically.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.