AI Tools that transform your day
Analyze and identify content in images with AI tools that provide accurate object detection and classification.
Mask R-CNN is a Python-based framework for object detection and segmentation, utilizing deep learning to generate precise bounding boxes and masks.
Multi-task Cascade CNN is an efficient tool for joint face detection and alignment using advanced cascaded convolutional neural networks.
RetinaNet is a Keras implementation of an object detection model that utilizes Focal Loss for improved accuracy in dense object detection tasks.
R-FCN is a Python implementation of Faster R-CNN for real-time object detection, providing efficient training and testing capabilities on GPUs.
SSD is an efficient object detection framework that enables training and evaluation of models using a single unified network.
The TensorFlow Object Detection API is an open-source framework that simplifies the construction, training, and deployment of object detection models.
Tesseract is an open-source OCR engine that accurately converts images to text using advanced neural networks and supports over 100 languages.
U-Net is a TensorFlow implementation for generic image segmentation, effective for tasks like radio frequency interference mitigation and more.
WIT by Google AI is a vast multilingual dataset of 37.6M image-text pairs from Wikipedia, enhancing multimodal machine learning research.
Witei Image Recognition is a comprehensive CRM for real estate that automates property management, marketing, and client interactions to boost efficiency.
Shazam quickly identifies songs, connects users to music trends, and showcases emerging artists globally through its intuitive app.
The Huawei HiAI Engine is a powerful AI development platform designed to enhance mobile applications with advanced artificial intelligence capabilities.
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