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Terrain Recognition using RESNET50 - #17

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Terrain Recognition using RESNET50#17
ramana2074 wants to merge 5 commits into
Akasxh:mainfrom
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@ramana2074

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Pretrained models have already learned to recognize general features and patterns in data, which can improve their performance on your specific task.

@AKSHITHA-CHILUKA

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@Akasxh despite of many times telling you have not changed the labels.
Please add labels
The crt labels are level3 with no spaces , gssoc-ext is the label not gssoc24-extd , hactoberfest-accepted is the label not hactoberfest .
I hope you will change all the label's in all the issues and pr's as soon as possible .

@Akasxh

Akasxh commented Oct 7, 2024

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Could you please completely make a seperate folder with name of technique used just as transfer learning folder that has been made. Use similar architecture and make sure to include all those components in them.

@ramana2074

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added into a residual learning file

@Akasxh Akasxh added level3 Hard gssoc-ext Contributing to gssoc-ext hacktoberfest-accepted Contributing to hacktoberfest 24' labels Oct 10, 2024
@Akasxh

Akasxh commented Oct 10, 2024

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Please add Plot training and validation accuracy over epochs. This is crucial to study how different techniques are working.

@ramana2074

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added Plots

@Akasxh

Akasxh commented Oct 10, 2024

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Try making your model more efficient from what I've see your accuracy is pretty low.
image

@ramana2074

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terrain output
is this okay?

@Akasxh

Akasxh commented Oct 27, 2024

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Sorry to say it's not yet fully optimised try adding some multimodality of resnets itself to see how they turn out to be.

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3 participants