Sightengine
PicPurify
Google Vision AI
Amazon Rekognition
Api4.ai NSFW API
Moderation API
OpenCV
IMG.LY
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
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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, NumPy seems to be a lot more popular than Sightengine. While we know about 107 links to NumPy, 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 / about 1 month 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
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months 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.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
OpenCV - OpenCV is the world's biggest computer vision library