models

Meh - it didn't work that well when I tried it. [1] Params I used were {architecture: 'ResNet50', outputStride: 32, quantBytes: 2}, with segmentMultiPerson function. The same images DeepLab handles perfectly. [2] If anyone sees a problem with the params/method I used let me know. [1] https://superanimo.com/bodypix/ [2] Deeplab: https://github.com/tensorflow/models/tree/master/research/de...

I work a lot with object detection at my current role. Would be cool to add Detectron 2, seems that this library that has some of the state of the art(SOTA) models in object detection. https://github.com/facebookresearch/detectron2 Also the TF Object Detection API has a suite of pretrained SOTA object detection models https://github.com/tensorflow/models/tree/master/research/ob... What makes object detection really valuable is being able to finetune a model to detect objects that are relevant to your problem. However collecting, labeling, takes a lot of time since the best way is to manually label. But 30-50 hrs of manual labeling can get you some great results when you are leveraging pretrained models. Building a tool to manage data labeling and training for finetuning object detection models would be very valuable.

What do you mean? Basically all Neural-network models (from Google and others) are freely available. And to top that you can also get pre-trained weights for the models for free. https://www.tensorflow.org/hub/ https://github.com/tensorflow/models

For detecting objects in video, take a look at: https://github.com/tensorflow/models/tree/master/research/ls... It uses SSD object detector (https://arxiv.org/abs/1512.02325 , https://lambdalabs.com/blog/how-to-implement-ssd-object-dete...) on each frame, then runs LSTM on top of it to collect information across video frames. The trained model can be run on mobile devices via Tflite.

There are probably a bunch on ProductHunt. For example https://remove.bg got a lot of upvotes - it probably uses this on the backend: https://github.com/tensorflow/models/tree/master/research/de...