
- 39
- 272 415
MATLAB & PYTHON Deep Learning - jitectechnologies
India
เข้าร่วมเมื่อ 16 ก.ค. 2018
Matlab & Python based deep learning implementations & Tutorials for Masters & Research Students
🎥 Object Tracking with YOLO v11: Train and Deploy on Your Own Data 🚀
🎥 Object Tracking with YOLO v11: Train and Deploy on Your Own Data 🚀
In this video, we demonstrate how to use YOLO v11 for real-time object tracking, customized with your own dataset. Whether you're working on computer vision for autonomous driving, security surveillance, or sports analytics, this tutorial has got you covered!
🔍 What You’ll Learn: 1️⃣ Preparing your dataset for YOLO v11 training.
2️⃣ Training YOLO v11 on your custom dataset step-by-step.
3️⃣ Implementing real-time object tracking in Python.
4️⃣ Visualizing results with seamless integration of bounding boxes and trajectories.
✨ Why YOLO v11?
Fast: Optimized for real-time object detection and tracking.
Accurate: Improved precision and recall with cutting-edge architecture.
Customizable: Train on any dataset to meet your project needs.
📌 Resources and Code:
Access the complete Python code and dataset preparation guide here: [Link to GitHub/Resources]
🔔 Subscribe for More!
Hit the like button 👍 if you find this tutorial helpful, and don’t forget to subscribe to stay updated on the latest advancements in AI and machine learning!
📖 Chapters:
0:00 Introduction
1:20 Setting up YOLO v11 for custom tracking
4:10 Data preparation and augmentation
8:15 Training YOLO v11
12:30 Testing the model on real-time data
📢 Follow Us for More Updates:
web: jitectechnologies.in/
#YOLOv11 #ObjectTracking #MachineLearning #PythonTutorial #DeepLearning #ComputerVision #RealTimeDetection
Contact Us
WhatsApp- +91 9994444414
Email - josemebin@gmail.com
web - jitectechnologies.in/
In this video, we demonstrate how to use YOLO v11 for real-time object tracking, customized with your own dataset. Whether you're working on computer vision for autonomous driving, security surveillance, or sports analytics, this tutorial has got you covered!
🔍 What You’ll Learn: 1️⃣ Preparing your dataset for YOLO v11 training.
2️⃣ Training YOLO v11 on your custom dataset step-by-step.
3️⃣ Implementing real-time object tracking in Python.
4️⃣ Visualizing results with seamless integration of bounding boxes and trajectories.
✨ Why YOLO v11?
Fast: Optimized for real-time object detection and tracking.
Accurate: Improved precision and recall with cutting-edge architecture.
Customizable: Train on any dataset to meet your project needs.
📌 Resources and Code:
Access the complete Python code and dataset preparation guide here: [Link to GitHub/Resources]
🔔 Subscribe for More!
Hit the like button 👍 if you find this tutorial helpful, and don’t forget to subscribe to stay updated on the latest advancements in AI and machine learning!
📖 Chapters:
0:00 Introduction
1:20 Setting up YOLO v11 for custom tracking
4:10 Data preparation and augmentation
8:15 Training YOLO v11
12:30 Testing the model on real-time data
📢 Follow Us for More Updates:
web: jitectechnologies.in/
#YOLOv11 #ObjectTracking #MachineLearning #PythonTutorial #DeepLearning #ComputerVision #RealTimeDetection
Contact Us
WhatsApp- +91 9994444414
Email - josemebin@gmail.com
web - jitectechnologies.in/
มุมมอง: 72
วีดีโอ
App - Real time deployment in 30 mints - Deep learning Web Application in AWS cloud
มุมมอง 785 หลายเดือนก่อน
0-30 minutes Web Application Real-time Deployment in AWS cloud code link - github.com/Jitec-Mebin/awsclassifer_deeplearn.git Contact Us WhatsApp- 91 9994444414 Email - josemebin@gmail.com web - jitectechnologies.in/ #aws,#amazonwebservices,#deeplearning #deployment,#deeplearningcloud,#deeplearningaws,#awsdeployement,#aideployment,#llmdeployment,#deepmodeldeployment,#clouddeployment,#deploymenti...
Vision Transformer model for classification problems -Own design full program
มุมมอง 2239 หลายเดือนก่อน
Vision Transformer model (Vit) for classification problems -Own design full program Contact Us for -Vision Transformer model Based classification, Object detection Implementations... WhatsApp- 91 9994444414 Email - josemebin@gmail.com web - jitectechnologies.in/ #VisionTransformer #ViT #TransformerArchitectureinComputerVision #ImageClassificationwithVisionTransformers #UnderstandingSelfAttentio...
Sales data prediction - Daily , Monthly , Yearly - Own data - Python & Matlab
มุมมอง 1509 หลายเดือนก่อน
Sales prediction - Daily, Monthly , Yearly - Own data - Python & Matlab code - colab.research.google.com/drive/1GIpySZ9XVhT24QMUmjY0QdKQ6-DMKhQo?usp=sharing Contact Us for Real-Time Sales Prediction Implementations... WhatsApp- 91 9994444414 Email - josemebin@gmail.com web - jitectechnologies.in/ Using Long Short-Term Memory (LSTM) networks for sales prediction involves training a model to lear...
Attention Mechanism in CNN - Vision Transfomer model -Image classification -Own data
มุมมอง 2K11 หลายเดือนก่อน
Attention Mechanism in CNN -Vision Transfomer model -Image classification, Segmentation -Owndata Attention - The core idea of the attention mechanism is to accurately distinguish the importance of different regions in the image features so that the model focuses on the areas that influence the classification results and weakens the attention to the outside areas Contact Us for Vision Transforme...
Prediction - LSTM Federated Learning - Own data
มุมมอง 514ปีที่แล้ว
Prediction - LSTM Federated Learning - Own data Contact Us for Federated Learning-based Implementations... WhatsApp- 91 9994444414 Email - josemebin@gmail.com web - jitectechnologies.in/ #federatedlearning ,#differentialprivacy,#differentialprivacyinfederatedlearning,#privacyinfederatedlearning,#fedeartedlearningprivacy,#privacyfederatedlearning,#dpinfederatedlearning,#federatedlearningtutorial...
Differential Privacy in Federated Learning - Owndata
มุมมอง 638ปีที่แล้ว
Differential Privacy in Federated Learning - Owndata Contact Us for Federated Learning-based Implementations... WhatsApp- 91 9994444414 Email - josemebin@gmail.com web - jitectechnologies.in/ #federatedlearning ,#differentialprivacy,#differentialprivacyinfederatedlearning,#privacyinfederatedlearning,#fedeartedlearningprivacy,#privacyfederatedlearning,#dpinfederatedlearning,#federatedlearningtut...
Just Watch - ChatGpt like Awesome Generative AI Model Own data - Own design,Kick me out if not Good
มุมมอง 92ปีที่แล้ว
Just Watch - ChatGpt like Awesome Generative AI Model -Own data - Own design, Kick me out if not Good Must Watch From 7.40 Minutes ... The Generation of Text Contact Us for AI-based Implementations... WhatsApp- 91 9994444414 Email - josemebin@gmail.com #AIDeepLearning #ailearning #aiOnlineCourses #federatedlearning #selfstudy #resourcesai #aibeauty #aionlinetutorials #aiskills,#genarativeai,#ge...
Federated Learning based Data Prediction - Own data (Stock, Rainfall, Any data)
มุมมอง 2.4Kปีที่แล้ว
Federated Learning-based Data Prediction - Own data (Stock, Rainfall, Any data) Any doubts Whatspp - 91 9994444414 josemebin@gmail.com www.jitectechnologies.in Small Fees are Applicable for the Full Program #Federatedlearning,#Federatedlearningprediction,#stockmarketusingfederatedlearning,#predictionusingfederatedlearning
Chat GPT-Very useful Real time (Question&Answer) web application using chat GPT - Own design
มุมมอง 100ปีที่แล้ว
Real time (Question&Answer) web application using chat GPT - Own design (correction -Musk was a co-founder and early funder of OpenAI , Elon musk left the open ai at 2018 now the CEO is Sam Altman ) web app link - 44.195.39.41/ (the link is migrated ) program folder - drive.google.com/drive/folders/1WijfQMj9AgDFo-zT-HaxtJdsMA3GbLI3?usp=sharing Any doubts Whatspp - 91 9994444414 josemebin@gmail....
Hybrid Learning and Hybrid Deep Model - Python Tensorflow - Own data
มุมมอง 3.8Kปีที่แล้ว
Hybrid Learning and Hybrid Deep Learning Model - Python Tensorflow Any doubts Whatspp - 91 9994444414 josemebin@gmail.com www.jitectechnologies.in Our Online support is Available for Students & Researchers [1] Register [2] will finish your work [3] We will conduct a Zoom meeting [4] You can Verify your work and Execution [5] Make the payment Fees are applicable for similar works ..(Python or Ma...
Video Fire detection YOLOv5 python - own data
มุมมอง 1.2Kปีที่แล้ว
Video Fire detection YOLOv5 python - own data If any doubts you can contact me through: Whatsapp - 91 9994444414 email -josemebin@gmail.com website - jitectechnologies.in/ Charges applicable for similar project implementation program link - drive.google.com/file/d/1rW24e-xdcET3_RK0JY5jm4XhdXZtdNOD/view?usp=sharing #yolo ,#yolov5 ,#objectdetection ,#finalyearprojects ,#phdsupport ,#mtechsupport,...
Image classification Android App- TensorFlow Lite - Own data
มุมมอง 5K2 ปีที่แล้ว
Image classification Android App- TensorFlow Lite - Own data If any doubts you can contact me through: Whatsapp - 91 9994444414 email -josemebin@gmail.com website - jitectechnologies.in/
3D-Unet model for Brain tumor segmentation - Brats Dataset -Python
มุมมอง 9K2 ปีที่แล้ว
3D-Unet model for Brain tumor segmentation - Brats Dataset If any doubts you can contact me through: Whatsapp - 91 9994444414 email -josemebin@gmail.com website - jitectechnologies.in/ Python Notebook file - drive.google.com/file/d/1MRmHIk-7Cxjm8mgHBI1LjQnIaeyDqMhy/view?usp=share_link Charges applicable for similar project implementation #Unetsegmentation,#imagesegmentation ,#braintumorresearch...
YOLO-V5 Custom data object detection - Python - Under water object detection
มุมมอง 1K2 ปีที่แล้ว
YOLO-V5 Custom data - Python - PyTorch - Under water object detection Python Notebook - drive.google.com/file/d/1cR8LOP25Pvm2Wg6nwbXErC0zESfZJ9tZ/view?usp=sharing Any Doubts WhatsApp - 91 9994444414 Email- josemebin@gmail.com web - jitectechnologies.in/ #yolo #yolov5 #yolov4 segmentation #Yolov5customdesign
Histo Nuclei & fundus Exudates Segmentation - Modified U-net Model - Own Data
มุมมอง 7792 ปีที่แล้ว
Histo Nuclei & fundus Exudates Segmentation - Modified U-net Model - Own Data
Federated Learning for classification problems - Colab (Python), Here workers mean (Mobile devices )
มุมมอง 12K2 ปีที่แล้ว
Federated Learning for classification problems - Colab (Python), Here workers mean (Mobile devices )
Data Prediction Using CNN not LSTM - Own data (Stock data)
มุมมอง 16K3 ปีที่แล้ว
Data Prediction Using CNN not LSTM - Own data (Stock data)
Google Colab - Python - Tensorflow - One click Execution - Own data classification
มุมมอง 8283 ปีที่แล้ว
Google Colab - Python - Tensorflow - One click Execution - Own data classification
Deep learning segmentation Unet model - Brain, fundus, Liver or any medical images -Own data
มุมมอง 7K3 ปีที่แล้ว
Deep learning segmentation Unet model - Brain, fundus, Liver or any medical images -Own data
Covid classification and ROC curve using Alexnet ,VGG,Resnet and Customnet
มุมมอง 3.6K3 ปีที่แล้ว
Covid classification and ROC curve using Alexnet ,VGG,Resnet and Customnet
Python- Disease classification (SVM) - plant , skin , retina - own data
มุมมอง 2.9K3 ปีที่แล้ว
Python- Disease classification (SVM) - plant , skin , retina - own data
Object detection & Tracking Deep learning YOLO Detector - Own data
มุมมอง 28K3 ปีที่แล้ว
Object detection & Tracking Deep learning YOLO Detector - Own data
Awesome !! Deep learning Based Image Denoising Matlab code - Own data
มุมมอง 3.3K4 ปีที่แล้ว
Awesome !! Deep learning Based Image Denoising Matlab code - Own data
Free from write codings - Matlab Deep Learning Designer App
มุมมอง 18K4 ปีที่แล้ว
Free from write codings - Matlab Deep Learning Designer App
Python Tensorflow for Deep learning Diabetic retinopathy classification - Own data (English-version)
มุมมอง 4.4K4 ปีที่แล้ว
Python Tensorflow for Deep learning Diabetic retinopathy classification - Own data (English-version)
Python Tensorflow for Deep learning CNN Diabetic retinopathy classification-Own data (Tamil-version)
มุมมอง 1.3K4 ปีที่แล้ว
Python Tensorflow for Deep learning CNN Diabetic retinopathy classification-Own data (Tamil-version)
Transfer learning based classification - own data , Alexnet ,VGG, Googlenet , Resnet,
มุมมอง 15K4 ปีที่แล้ว
Transfer learning based classification - own data , Alexnet ,VGG, Googlenet , Resnet,
Skin cancer Melanoma classification - own data & own network
มุมมอง 6K4 ปีที่แล้ว
Skin cancer Melanoma classification - own data & own network
Data Prediction using DeepLearning RNN ( LSTM ) - Own Data
มุมมอง 48K4 ปีที่แล้ว
Data Prediction using DeepLearning RNN ( LSTM ) - Own Data
Send the code
Thanks man!
Could you please share the code my project on Skin cancer Melanoma classification
can you share the code
can you provide link to your notebook please?
can I get your model.h5 ??
can you give me source code because i have same project and im not able to do it so please share code
Can u send me ur mail id
code please
sir i have an issue, i have mine own project i wrote it on jupyter lab, i need to integrate it to mobile app like yours, which can make my image classification project. but i dont know how can i solve this problem, can u help me please?
Yes pls contact through what’s app ..
Please provide the code.
Fees applicable for sharing the code ..thank you
Hi I am interested in image processing at matlab but how to learn I don't know please put some video of what is job here for and something about a matlab in various department please it's useful to other students tooo please please
Okay 👌 sure …
Thank you sir. Can you please share the code?
Code is chargeable … thank yiu
can you please share the code?
can you share your code please?
can you share your code for practice?
Can you please tell us how to upload brats dataset onto jupytr notebook
can you send me this code ? thanks
Could you please share the public Colab link with me?
can you share notepad code
How to load time series data in this network?
Feed like 4d vector data
can you please upload drive link again or update, it is showing error, i really need this for matlab project :')
pls give me the link of dataset
raw.githubusercontent.com/ffzs/dataset/master/sales.csv dataset
Hi .. thank you so much for this video. It is very helpful and runs according to my data. However, I do not understand why we should make it into a 4D array. Can you please explain to me why that is so ?
It’s 2d cnn so x,y,1,no of samples …
That video is useless without source code
if we don't have stop sign in the image then can it able to classify the image as no stop sign detected ? And how to do multi-class object detction and classification using R-CNN ?
Label multiple object and change the number of classes …
can you send me github or colab public link
It’s private ..fees applicable for the further support ..
i completed my project. I wrote my self entire code
@@dukuruvenkatesh2803can you give me the full code?
Itz working bro thanks bro....
Sir why is output images comes in colour??
We used colour label for all classes ..
Very clear, Thanks!
Good best of luck …👍
How can I validate the result? How can I add validation in the given algorithm?
Bro if you are sharing something, do it properly. I appreciate your effort but atleast share the code. No one's going to write the whole code
It’s just for the reference ..fees applicable for full code ..thank you
How are you brother, please can I have your email address or phone number.
can you please provide me the code brother
Please provide the code for this
can i get the source code for the main and xml?
Ok …
bro, send me a source code pls, thnx
sir, how can I get that code
Fees applicable 2k ..contact through WhatsApp
bro could u pl share the full code
Fees applicable …
an approx estimate?@@matlabpythondeeplearning-j8677
How much
2k
can you give the code link
Please continue making such practical videos, very helpful.
Thank you 👍
@@matlabpythondeeplearning-j8677 Can you also make a video on how we can integrate different data set files into deep learning codes?
Will you kindly show how to separate detected object from image as separate images
Output= imcrop(image,bbox)….
Did you do this in Google Colab or Google Colab Pro or Google Colab Pro + ?
Colab only …
@@matlabpythondeeplearning-j8677 I even upgraded to Colab Pro but I couldn't train model. It always give error regarding RAM . Memory issue. Now , it requires me to upgrade to Pro +. Would you like to suggest me ?
Save your image files as .npy and run ..it would reduce the occupied memory
Can the video above be used as a reference for detecting containers in a video?
Yes .. it will work …
@@matlabpythondeeplearning-j8677 Can I ask for the program you have created?
We will be charging some fees for the work.. thank you
Thank u for this tutorial ❤.will you please make video for bigenners from start on how we take code from github and on which software we can use this code for prediction models in federated learning.
Yes sure …
When will you upload the full tutorial ??
whats there in the hidden cell
Neurons there …. The hidden neurons is 10 in this program ..
Could you share me with your code and dataset?
You can type and try .. if any errors pls let us know .. we will rectify it …
Extracting region proposals from 2 training images...Error using () Row index exceeds table dimensions. Error in rcnnObjectDetector.extractRegionProposals (line 486) [trainingData(i,:), isvalid(i).HasValidData, isvalid(i).HasNoBoxes] = vision.internal.cnn.utils.hasValidTrainingData(imageSize,trainingData(i,:)); Error in rcnnObjectDetector.train (line 219) [regionProposals, trainingData, validTrainingData] = rcnnObjectDetector.extractRegionProposals(fcn, imds, params, trainingData); Error in trainRCNNObjectDetector (line 282) [detector, ~, info] = rcnnObjectDetector.train(trainingData, lgraphOrLayers, options, params); Error in theory_project (line 23) train=trainRCNNObjectDetector(label,pp,options,'NegativeOverlapRange',[0 0.3]); >>
Very good video 🎉…
Its very good but what useful from this
You can learn …
Ok thank you Is it possible for the accurecy to become higher?from risnet and vgg16
@ahmedprog3174 yes ..but you have to do data augmentations and preprocessing ..thank you
It’s good …
Thanks …