Make two CNN model for depth and object detection (Deep Learning)
Budget: $30 – $250 USD
I have an image dataset which includes 250k entries, each ID has three images for data:
1) raw image
2) image depths
3) object segments
I need two CNN models (PyTorch or Tensorflow), one of them gets the image and predicts the depth of object, you need to get this prediction and merge it with raw image and give to second model;
The final product should be able detect the objects in the image using depth and segmentation labels provided.
No transfer learning - both neural networks should be implemented explicitly using Keras/PyTorch
1) raw image
2) image depths
3) object segments
I need two CNN models (PyTorch or Tensorflow), one of them gets the image and predicts the depth of object, you need to get this prediction and merge it with raw image and give to second model;
The final product should be able detect the objects in the image using depth and segmentation labels provided.
No transfer learning - both neural networks should be implemented explicitly using Keras/PyTorch