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Darknet
Keras
TFlearn
TensorFlow
PyTorch
Microsoft Cognitive Toolkit (Formerly CNTK)
DeepPy
Knet
Clarifai
Amazon Rekognition
Google Vision AI
OpenCV
Kairos
Keras
Trueface Visionbox
Microsoft Computer Vision API
Clarifai is a leading deep learning AI platform for computer vision, natural language processing and automatic speech recognition. We help enterprises and public sector organizations transform unstructured images, video, text and audio data into structured data, significantly faster and more accurately than humans would be able to do on their own. Our technology is used across many industries including E-commerce, Defense, Retail, Manufacturing, and more.
Our platform is powered by state-of-the-art machine learning and comes with the broadest repository of pre-trained out-of-the-box AI models to search, sort, and organize visual, textual, and audio data and help companies build turnkey AI solutions. Our pre-trained models can detect explicit content, faces, embedded objects and text within images and video as well as predict various attributes such as celebrities, food items, textures, colors, and more. An intuitive, feature-rich user interface makes it easy to use for all skill levels. We offer a free API to researchers and developers to get started building their own models in the efforts of using AI to help the greater good.
Darknet ClarifaiNo features have been listed yet.
Based on our record, Darknet seems to be more popular. It has been mentiond 3 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.
This reminds me of the resume for the guy who made darknet Https://pjreddie.com/darknet/. Source: about 1 year ago
Election of tools: you should define if you are going to use machine/deep learning methods or classical approaches such as the Viola-Jones algorithm. I will recommend you to use ML/DL with TensorFlow (Object Detection API) or Darknet (YOLO). Source: about 2 years ago
Yes, in subfield of ML like DNL and CNL, C||C++ are commonly used, darkent is open source neural network framework written in c and cuda . Source: almost 3 years ago
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
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.
OpenCV - OpenCV is the world's biggest computer vision library