google-deepmind/kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3318
- days_rel: n/a
- days_push: 2547
- n_releases_24m: 0
Adoption not part of the score
1838 stars · 467 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A repository of pre-trained Inflated 3D Convnet (I3D) models for video action classification, trained on the Kinetics dataset, released alongside the CVPR 2017 'Quo Vadis' paper. It includes TensorFlow/Sonnet sample code for building the two-stream model and running inference with pre-trained RGB and flow checkpoints.
Use cases
- classify human actions in videos
- get a pretrained video model for transfer learning
- fine-tune I3D on UCF101 or HMDB51
- run video action recognition inference with TensorFlow
- reproduce results from the Quo Vadis action recognition paper
When to choose
- you need a strong pretrained video action recognition backbone for research or fine-tuning
- you work in TensorFlow/Sonnet and want the original I3D checkpoints
- you want to reproduce or build on the CVPR 2017 Kinetics paper
When to avoid
- you need PyTorch or modern framework support
- you want actively maintained code with recent updates
- you need general video processing rather than action classification
- you require production-grade video classification pipelines
Facets
library · maturity maintenance
machine-learning deep-learning computer-vision video-processing machine-learning computer-vision python i3d video-classification action-recognition kinetics-dataset pretrained-models tensorflow sonnet research video
1 source
- readme: https://github.com/google-deepmind/kinetics-i3d · fetched 2026-08-28 · 1752d3578127
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google-deepmind/kinetics-i3d | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="google-deepmind/kinetics-i3d")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem