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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, TensorFlow should be more popular than Sightengine. It has been mentiond 7 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.
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 2 months 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
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years 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.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
IMG.LY - Power Your Apps with IMG.LY | The Leading Provider of Design, Photo, and Video Editing SDKs
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.