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Modelos TensorFlow.js
Explore modelos previamente entrenados para agregar visión por computadora, procesamiento de lenguaje natural (NLP) y otras tareas comunes de aprendizaje automático a sus aplicaciones web y basadas en navegador.
Detección de rostros sencilla Detecte rostros en imágenes utilizando una arquitectura de detector de disparo único con un codificador personalizado (Blazeface).
Detección de pose API de detección de pose unificada para usar uno de los tres modelos que ayudan a detectar poses atípicas y movimientos corporales rápidos con rendimiento en tiempo real.
Detección de pose de mano Modelo de seguimiento de dedos con detector de palma y esqueleto de mano. Predice 21 puntos clave de mano en 3D por mano detectada.
Detección de toxicidad de texto Califique el impacto percibido que un comentario puede tener en una conversación, desde "Muy tóxico" hasta "Muy saludable" (Toxicidad).
Codificador de oraciones universal Codifique texto en incrustaciones para tareas de PNL, como clasificación de sentimientos y similitud textual (Universal Sentence Encoder).
Clasificador KNN Utilidad para crear un clasificador utilizando el algoritmo K-Nearest-Neighbors. Se puede utilizar para el aprendizaje por transferencia.
[null,null,[],[],[],null,["# TensorFlow.js models\n====================\n\nExplore pre-trained models to add computer vision, natural language processing (NLP), and other common ML tasks to your web and browser-based applications. \n\nVision\n------\n\nAnalyze features in images and videos. Unlock new real-time experiences in the browser. \n[Image classification](https://github.com/tensorflow/tfjs-models/tree/master/mobilenet) \nClassify images with labels from the ImageNet database (MobileNet). \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/mobilenet) \n[Object detection](https://github.com/tensorflow/tfjs-models/tree/master/coco-ssd) \nLocalize and identify multiple objects in a single image (Coco SSD). \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/coco-ssd) \n[Semantic segmentation](https://github.com/tensorflow/tfjs-models/tree/master/deeplab) \nRun semantic segmentation in the browser (DeepLab). \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/deeplab) \n\nBody\n----\n\nDetect key points and poses on the face, hands, and body with models from [MediaPipe](https://google.github.io/mediapipe/solutions/models) and beyond, optimized for JavaScript and Node.js. \n[Simple face detection](https://github.com/tensorflow/tfjs-models/tree/master/face-detection) \nDetect faces in images using a Single Shot Detector architecture with a custom encoder (Blazeface). \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/face-detection) \n[Face landmark detection](https://github.com/tensorflow/tfjs-models/tree/master/face-landmarks-detection) \nPredict 486 3D facial landmarks to infer the approximate surface geometry of human faces. \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/face-landmarks-detection) \n[Pose detection](https://github.com/tensorflow/tfjs-models/tree/master/pose-detection) \nUnified pose detection API for using one of three models that help detect atypical poses and fast body motions with real time performance. \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/pose-detection) \n[Body segmentation](https://github.com/tensorflow/tfjs-models/tree/master/body-segmentation) \nSegment person(s) and body parts in real-time. \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/body-segmentation) \n[Hand pose detection](https://github.com/tensorflow/tfjs-models/tree/master/hand-pose-detection) \nPalm detector and hand-skeleton finger tracking model. Predict 21 3D hand keypoints per detected hand. \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/hand-pose-detection) \n[Portrait depth estimation](https://github.com/tensorflow/tfjs-models/tree/master/depth-estimation) \nEstimate a depth map for a single portrait image of a human. \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/depth-estimation) \n\nText\n----\n\nEnable NLP in your web app using the power of BERT and other Transformer encoder architectures. \n[Natural language question answering](https://github.com/tensorflow/tfjs-models/tree/master/qna) \nAnswer questions based on the content of a given passage of text using BERT. \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/qna) \n[Text toxicity detection](https://github.com/tensorflow/tfjs-models/tree/master/toxicity) \nScore the perceived impact a comment may have on a conversation, from \"Very toxic\" to \"Very healthy\" (Toxicity). \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/toxicity) \n[Universal sentence encoder](https://github.com/tensorflow/tfjs-models/tree/master/universal-sentence-encoder) \nEncode text into embeddings for NLP tasks such as sentiment classification and textual similarity (Universal Sentence Encoder). \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/universal-sentence-encoder) \n\nAudio\n-----\n\nClassify audio to detect sounds and trigger an action in your web app. \n[Speech command recognition](https://github.com/tensorflow/tfjs-models/tree/master/speech-commands) \nClassify 1-second audio snippets from the speech commands dataset (speech-commands). \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/speech-commands) \n\nGeneral\n-------\n\nFind more TensorFlow.js models that can be used out of the box. \n[KNN Classifier](https://github.com/tensorflow/tfjs-models/tree/master/knn-classifier) \nUtility to create a classifier using the K-Nearest-Neighbors algorithm. Can be used for transfer learning. \n[View code](https://github.com/tensorflow/tfjs-models/tree/master/knn-classifier) \n[Explore on GitHub](https://tfhub.dev/s?deployment-format=tfjs) \n\nGet started with TensorFlow.js\n------------------------------\n\n[Explore tutorials](/js/tutorials)"]]
