TensorFlow.js models

Classify images with labels from the ImageNet database (MobileNet).

Localize and identify multiple objects in a single image (Coco SSD).

Segment person(s) and body parts in real-time (BodyPix).

Estimate human poses in real-time (PoseNet).

Score the perceived impact a comment may have on a conversation, from "Very toxic" to "Very healthy" (Toxicity).

Encode text into embeddings for NLP tasks such as sentiment classification and textual similarity (Universal Sentence Encoder).

Classify 1-second audio snippets from the speech commands dataset (speech-commands).

Utility to create a classifier using the K-Nearest-Neighbors algorithm. Can be used for transfer learning.

Detect faces in images using a Single Shot Detector architecture with a custom encoder (Blazeface).

Run semantic segmentation in the browser (DeepLab).

Predict 486 3D facial landmarks to infer the approximate surface geometry of human faces.

Palm detector and hand-skeleton finger tracking model. Predict 21 3D hand keypoints per detected hand.

Answer questions based on the content of a given passage of text using BERT.

Unified pose detection API for using one of three models that help detect atypical poses and fast body motions with real time performance.

Models