Classifying Celestial-bodies #38 #60
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Data for Stars, Supernova, Nebula, Cluster of galaxies is added in separate folders
Added new celestial bodies i.e starts, nebula, supernova and cluster_of_galaxies
Added new labels starts, supernova, nebula and cluster of galaxies. Moon was missing so that is also added.
All the bottlenecks after training the data
Automatically updated Added new labels starts, supernova, nebula and cluster of galaxies. Moon was missing so that is also added.
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@krkakade Where did you find the training data and testing data i.e. images for If you notice closely then all these catagories will have almost same images and we can't just give the images to our model and train them. We were able to use generic model for classification of planets and types of galaxies because they look different from each other and easy for the model to train. Whereas Nebula, Supernova and cluster_of_galaxies are almost equal. Better if you create separate PR for each category so that we will be able to check properly. |
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According to you, which sources I shoud consider to get data from? |
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@krkakade I am not sure, we should get from somewhere where it is genuine. Such as satellite images from space authorities through their websites or manually validating images when downloading from google or random place. I downloaded few from Nasa and other places and manually verified the ones downloaded from google images to be sure. |
I have created a new branch in which made different commits for different changes.
I hope this helps.