JFT
Google ResearchCarnegie Mellon University (CMU)Image classificationObject detectionSemantic segmentationPose estimation
JFT is a frontier-class image classification model published by Google Research,Carnegie Mellon University (CMU) in 2017 featuring 44654504.0 parameters.
About JFT
The success of deep learning in vision can be attributed to: (a) models with high capacity; (b) increased computational power; and (c) availability of large-scale labeled data. Since 2012, there have been significant advances in representation capabi
Details
- Provider
- Google Research,Carnegie Mellon University (CMU)
- Task
- Image classification,Object detection,Semantic segmentation,Pose estimation
- Parameters
- 44654504.0
- Released
- 2017-07-10