Explore pre-trained TensorFlow.js models that can be used in any project out of the box.
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.