📝 Explained by the Community | Win 4 x DJI Mavic Drones

Seismic Facies Identification Challenge
4

Hi Everyone :waving_hand:

I have made a complete colab notebook from Data Exploration to Submitting Predictions. Here are some of the glimpse of the image visualization section!

newplot (4)
newplot (4)1100×600 168 KB

And this 3D Plot!

newplot (5)
newplot (5)1100×600 196 KB

Tables of Content -

  1. Setting our Workspace :briefcase:

  2. Data Exploration :face_with_monocle:

  3. Image Preprocessing Techniqes :broom:

  4. Creating our Dataset :hammer:

  5. Creating our Model :factory:

  6. Training the Model :locomotive:

  7. Evaluating the model :test_tube:

  8. Testing on test Data :100:

  9. Generate More Data + Some tips & tricks :light_bulb:

The main libraries covered in this notebook is —

  • Tensorflow 2.0 & Keras
  • Plotly
  • cv2
    and much more…

The model that i am using is UNet, pretty much standard in image segmentation. More is in the colab notebook!

I hope the colab notebook will help you get started in this competition or learning something new :slightly_smiling_face:. If the notebook did help you, make sure to like the post. lol.

More things will be added soon!

By

7 Likes