Inflated 3D Convnet or I3D model  trained for action recognition on kinetics-400.
Module URL: https://tfhub.dev/deepmind/i3d-kinetics-400/1
A Colaboratory notebook demonstrating a simple application of this module is available here.
This video classification model is described in , the source code is publicly available on github.
As reported in , this model achieved state-of-the-art results on the UCF101 and HMDB51 datasets from fine-tuning these models. I3D models pre-trained on Kinetics also placed first in the CVPR 2017 Charades challenge.
frames = ... # Shape [batch_size, frame_count, height=224, width=224, 3] module = hub.Module("https://tfhub.dev/deepmind/i3d-kinetics-400/1") logits = module(frames)
The labels for the 400 different actions are detailed in this map.
 Joao Carreira and Andrew Zisserman. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. Conference on Computer Vision and Pattern Recognition, CVPR 2017.