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@user-rx5vg9yb1h 5 сағат бұрын
Your passion for creating content really shines through! Love it.
@RamEsha-nk7id 6 сағат бұрын
Your videos always provide such valuable information and insights. Thank you!
@samareditor666 6 сағат бұрын
You have a real talent for making engaging and informative videos. Fantastic job!
@2GhumakkadHaryanase 6 сағат бұрын
I can tell you put a lot of time and effort into your videos. Thank you for sharing!
@saraswatisahoo2816 22 күн бұрын
C:\Users\sparc\miniconda3\envs\SAM\Lib\site-packages\torchvision\io\image.py:13: UserWarning: Failed to load image Python extension: '[WinError 127] The specified procedure could not be found'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? warn( got this error
@saraswatisahoo2816 22 күн бұрын
I am unable to 'activate SAM' in E folder.
@chiranjitsingha7787 22 күн бұрын
How to out put as export full prediction map....
@tatipmdefreitas Ай бұрын
Uauuu, venha apresentar no FOSS4G 2024 BELÉEEM.
@georgespencer2530 Ай бұрын
"Promosm" 💦
@manuelfosalau1367 Ай бұрын
Thank you so much for your useful videos and dedication! Could you please also explain to us or give me some useful directions to how could I see the actual land use classification by the deep learning model? One way would be in a GIS software. Is there also another way? For example, to make a map based on a satellite imagery at a certain moment, classifying it in the 10 categories from the EuroSat. Thank you!
@BEEiLabTV Ай бұрын
Glad To hear it was useful. Actually, the satellite image classification can be classified in two scenarios. The first one is similar to what you watched on this channel and this is also known as scene classification. On the other hand, in some cases to have a classified map, you need to predict the class of each pixel. In this scenario, you need to train a model and then pass an image patch to the trained model. The predicted value belongs to the center pixel in the patch image. For instance, if you are going to use Sentinel-2 satellite data, you can use a patch size of 9*9. Notably, the EuroSat dataset with this structure can't be used for pixel-based classification. We hope to prepare a comprehensive tutorial for this approach as soon as possible.
@drakulahits Ай бұрын
Hii sir i need some guidance regarding generating synthetic images with triplegan on Eurosat, can you please help me.... Thanks in advance sir
@Leekyoonjoo._. Ай бұрын
Your videos are always so insightful and thought-provoking. I truly appreciate your content.
@drjangamer657 Ай бұрын
Another great video! You always deliver quality content.
@SubscribeMe22697 Ай бұрын
You have such a talent for creating engaging videos. Well done!
@UiWatchtime Ай бұрын
I appreciate the way you present information in such an engaging manner. Great job!
@balram_956 Ай бұрын
I always appreciate the effort you put into your content. Keep it up!
@haseebhabeebulla2200 Ай бұрын
How to collect ground truth data for this LULC
@BEEiLabTV Ай бұрын
Others collect this ground truth and is public to use now! But if you need to collect the ground truth for your study, you can use GPS and other surveying instruments to collect precise ground truth! And if you are not looking for precise ground truth, you can use Google Earth or a high-resolution satellite to label the land uses.
@user-eu8qr6vj6l Ай бұрын
Application of GIS in real world
@tadelemelese4180 Ай бұрын
Your teaching method is truly exceptional! I have a question and I'd appreciate it if you could create a video tutorial. How can we annotate or label Landsat or Sentinel satellite images for land use and land cover change analysis to train a deep learning model?
@BEEiLabTV Ай бұрын
Thanks for your message. We will work on it. One way to have labels for change detection in LULC is to classify the image for both years and then compare the pixels one by one to generate a change map.
@Khalilgholamnia2 2 ай бұрын
Dear Masoud, Thank you so much for your wonderful teaching. I have found it truly fabulous. I have a question: Is there a specific section in this code to dedicated to generating export classifications? I did not find it in your code. Best regards,
@BEEiLabTV 2 ай бұрын
Thanks for your message. This code does not have a section for generating classification maps. We will cover this topic as soon as possible.
@Khalilgholamnia2 2 ай бұрын
Thank you for prompt answer, @@BEEiLabTV
@edzu2771 2 ай бұрын
It would be super useful if you could include the commands used in the video descriptions friend
@BEEiLabTV 2 ай бұрын
Thanks for your valuable comments! The commands were added to the description. Thanks.
@AlexAnticona94 2 ай бұрын
Felicidades por su video y muchas gracias por la enseñanza, saludos desde Perú
@mandata143 2 ай бұрын
Hello, Sir. Can I have a request tutorial? Regarding Lidar data. How to import it to QGIS, how to classify and clean the unwanted noise (points)
@Strendev 2 ай бұрын
optimizer=tf.keras.optimizers.Adam(learning_rate=0.0015) loss: 0.9262 - accuracy: 0.8199
@gobajoseph5064 2 ай бұрын
Super je découvre la chaîne
@victorreed180 3 ай бұрын
🌺 Promo_SM
@zahraamini5160 3 ай бұрын
I love your hard work , I wish you'll be success and health.
@zahraamini5160 3 ай бұрын
That was amazing , keep going my darling ❤
@Worryno 3 ай бұрын
I love this content! Thanks for sharing.
@user-se7wc4cl3o 3 ай бұрын
Your videos always leave me wanting more. Your content is truly amazing!
@__Rajan.04__ 3 ай бұрын
Your videos are always so well-researched and thought-provoking. Keep up the great work!
@abhishekjadhav1577 3 ай бұрын
Another great video! You always deliver quality content.
@HaThanhVN 3 ай бұрын
I appreciate the time and effort you put into creating such engaging content. Thank you!
@BdBd-rg7up 3 ай бұрын
Your videos are always so well-organized and neatly presented. Great work!
@UZBEKISTON_AHLI 3 ай бұрын
Your videos always provide such valuable insights. Thank you!
@greenbombgaming 3 ай бұрын
You have a natural talent for storytelling in your videos. Keep up the great work!
@markotntradovic 3 ай бұрын
Your videos are always so well-paced and engaging. Fantastic job!
@saleemullahbaig9925 3 ай бұрын
I am a little confused here as to why you use binary cross entropy as the loss function because you are working on a multi-class classification dataset.
@BEEiLabTV 3 ай бұрын
Yes, you are right. Here, we have two options. First, we can use sigmoid acrivation function with binary cross entropy and secondly, we can use softmax with categorical cross entropy.
@saleemullahbaig9925 3 ай бұрын
@@BEEiLabTV oh. i got it and thanks for your response.
@YTSh0rtiesYT 3 ай бұрын
Your channel has quickly become one of my go-to sources for interesting and informative content.
@DunyadanXeber 3 ай бұрын
I love the way you present information in your videos. So clear and concise!
@duhas-zl7wj 3 ай бұрын
You have a natural gift for creating compelling content. Keep it up!
@Xane021 3 ай бұрын
This is such a well-made video! You should be proud.
@duhas-zl7wj 3 ай бұрын
Your videos never fail to entertain me. Keep them coming!
@FF_POWER-0367 3 ай бұрын
I love your unique perspective in your videos. Always thought-provoking!
@Gta5striming 3 ай бұрын
Your creativity and passion for creating content are truly inspiring. Keep up the amazing work!
@Freefirekita 3 ай бұрын
Your videos are always so polished and professional. Fantastic job!
@khsahafat3124 3 ай бұрын
Your attention to detail in your videos is amazing. Great job!
@user-fb9ji3ds7b 3 ай бұрын
Your videos are always so well-organized and neatly presented. Great work!
@FMSHORTS-ti5hd 3 ай бұрын
The authenticity in your videos is truly refreshing. Keep up the great work!
@vvfgvv123 3 ай бұрын
You have a real gift for making engaging, informative content. Keep up the great work!