Realtime object detection by Google.
https://research.googleblog.com/2017/11/automl-for-large-scale-image.html
YouTube demo: https://www.youtube.com/watch?time_continue=70&v=ERglPgx8wFg
#deeplearning #google #caption #detection
https://research.googleblog.com/2017/11/automl-for-large-scale-image.html
YouTube demo: https://www.youtube.com/watch?time_continue=70&v=ERglPgx8wFg
#deeplearning #google #caption #detection
Google AI Blog
AutoML for large scale image classification and object detection
Posted by Barret Zoph, Vijay Vasudevan, Jonathon Shlens and Quoc Le, Research Scientists, Google Brain Team A few months ago, we introduce...
Faster R-CNN and Mask R-CNN in #PyTorch 1.0
Another release from #Facebook.
Mask R-CNN Benchmark: a fast and modular implementation for Faster R-CNN and Mask R-CNN written entirely in @PyTorch 1.0. It brings up to 30% speedup compared to mmdetection during training.
Webcam demo and ipynb file are available.
Github: https://github.com/facebookresearch/maskrcnn-benchmark
#CNN #CV #segmentation #detection
Another release from #Facebook.
Mask R-CNN Benchmark: a fast and modular implementation for Faster R-CNN and Mask R-CNN written entirely in @PyTorch 1.0. It brings up to 30% speedup compared to mmdetection during training.
Webcam demo and ipynb file are available.
Github: https://github.com/facebookresearch/maskrcnn-benchmark
#CNN #CV #segmentation #detection
GitHub
GitHub - facebookresearch/maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection…
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch. - facebookresearch/maskrcnn-benchmark
The Open Images Dataset V4 by GoogleAI
#GoogleAI present #OpenImagesV4, a #dataset of 9.2M images with unified annotations for:
– image #classification
– object #detection
– visual relationship detection
30.1M image-level labels for 19.8k concepts, 15.4M bounding boxes for 600 object classes
paper: https://arxiv.org/abs/1811.00982v2
#GoogleAI present #OpenImagesV4, a #dataset of 9.2M images with unified annotations for:
– image #classification
– object #detection
– visual relationship detection
30.1M image-level labels for 19.8k concepts, 15.4M bounding boxes for 600 object classes
paper: https://arxiv.org/abs/1811.00982v2