Keras-retinanet Alternatives

keras-retinanet reviews and mentions

• What are the best alternatives for object detection to yolo ?
  1 project | /r/computervision | 9 Oct 2022

  Something like this: https://github.com/fizyr/keras-retinanet

• My machine-learning pet project. Part 5. Exploring epochs and batches
  1 project | dev.to | 10 Aug 2022

  The last thing I did was to feed a part of my dataset to Retinanet. This part consisted of 71 images. Retinanet basically complained that my dataset was too small for training.

• Optimal Deep Learning model size for embedded system and upcoming question(s) about hardware on embedded system [D]
  1 project | /r/MachineLearning | 23 Jul 2022

  Hi, I am currently reading up on RetinaNet model. I'm trying to make a palm oil fruit object detection and classification model by using RetinaNet. The backbone that I'm using is ResNet50 and my input image dimension is 1280 x 720.

• My machine-learning pet project. Part 4. Feeding the dataset to Retinanet
  2 projects | dev.to | 26 Jun 2022

  Today I want to feed my dataset to Retinanet using a csv format. For now, I am going to use only 2 labels and about 80 images (half labelled Salad, half labelled Pastry) just to try Retinanet, to get an idea how it works.

• My testing returns this, what should I do?
  1 project | /r/learnmachinelearning | 5 Jun 2022

  I've been given a school assignment in which I have to train a RetinaNet network on the KITTI dataset for vehicle recognition (6373 training set), and more specifically using an EfficientNetB2 backbone. What you see above is the result of my latest training, useless to say it's not going very well as far as neural networks go and is barely passable as modern art.

• CNN for single class pattern recognition and localization
  1 project | /r/deeplearning | 12 May 2022

  Hi everyone, I am trying to identify and locate a specific pattern in some pictures (fluid fields), and I would have a 2500 pictures dataset to train a model. I have used a resnet50 together with this framework (git), but 50 layers for one single class and a very simple pattern maybe could be too much, I was thinking about getting a smaller one like the resnet18 or similar.

• Is a ResNet maybe too complicated for my "simple" application?
  1 project | /r/learnmachinelearning | 12 May 2022

  I am training a resnet50 using this framework github repo to do object identification in pictures, actually it's not proper object identification as I am trying to recognize a very simple pattern, not even a real object inside fluid fields but at the end I need the location of it inside the pictures

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