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Flutter Landmark Classifier (TFLite) - SpeedCode
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This is a project that can recognize and search landmarks in each region.
(Asia, South America, North America, Europe, Oceania, Antarctica)
It includes how to apply the model and how to process label data.
Unfortunately, the performance of the tflite model results worse than the example of tfhub.
To be used in real-world projects, you need to improve the performance of your model.
If you are in an iOS environment, you must add the following in Podfile:
▶ Label Data Edit Page
▶ Model Info
* TFHub Landmark Models
▶SourceCode
* Github
▶Packages
* multi_image_picker
* image
* tflite_flutter
* tflite_flutter_helper
* url_launcher
▶ Keyword
Classification, Landmark, Flutter, Tensorflow, TFLite
▶Timestamp
00:00 - Intro
00:44 - Project Setting
01:01 - AndroidManifest Setting
01:08 - Podfile Setting (TFLite Setting)
01:30 - TFLite Model & Label Setting
02:12 - Home Page
10:28 - ImageService
11:30 - ClassificationService
18:45 - Classification Page
#flutter #tflite #classification
This is a project that can recognize and search landmarks in each region.
(Asia, South America, North America, Europe, Oceania, Antarctica)
It includes how to apply the model and how to process label data.
Unfortunately, the performance of the tflite model results worse than the example of tfhub.
To be used in real-world projects, you need to improve the performance of your model.
If you are in an iOS environment, you must add the following in Podfile:
▶ Label Data Edit Page
▶ Model Info
* TFHub Landmark Models
▶SourceCode
* Github
▶Packages
* multi_image_picker
* image
* tflite_flutter
* tflite_flutter_helper
* url_launcher
▶ Keyword
Classification, Landmark, Flutter, Tensorflow, TFLite
▶Timestamp
00:00 - Intro
00:44 - Project Setting
01:01 - AndroidManifest Setting
01:08 - Podfile Setting (TFLite Setting)
01:30 - TFLite Model & Label Setting
02:12 - Home Page
10:28 - ImageService
11:30 - ClassificationService
18:45 - Classification Page
#flutter #tflite #classification
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