✅ "DENSE_REGION_CAPTION" Feature:
This feature generates rich textual descriptions for different regions of the image.
In the video, it introduced excessive glittery effects.
📌 It’s better suited for single-frame usage rather than processing a sequence of video frames.
✅ "REFERRING_EXPRESSION_SEGMENTATION" Feature:
This feature segments areas of the image using expressions referring to them.
However, ⏱️ it is time-consuming, and in terms of accuracy and efficiency, the SAM (Segment Anything Model) performs slightly better than Florence-2.
📓 Notebook:
🔗 https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-use-florence-2-for-object-detection-image-captioning-ocr-and-segmentation.ipynb
🔍 By: https://t.iss.one/DataScienceN5
This feature generates rich textual descriptions for different regions of the image.
In the video, it introduced excessive glittery effects.
📌 It’s better suited for single-frame usage rather than processing a sequence of video frames.
✅ "REFERRING_EXPRESSION_SEGMENTATION" Feature:
This feature segments areas of the image using expressions referring to them.
However, ⏱️ it is time-consuming, and in terms of accuracy and efficiency, the SAM (Segment Anything Model) performs slightly better than Florence-2.
📓 Notebook:
🔗 https://github.com/ultralytics/notebooks/blob/main/notebooks/how-to-use-florence-2-for-object-detection-image-captioning-ocr-and-segmentation.ipynb
🔍 By: https://t.iss.one/DataScienceN5
GitHub
notebooks/notebooks/how-to-use-florence-2-for-object-detection-image-captioning-ocr-and-segmentation.ipynb at main · ultralytics/notebooks
Ultralytics Notebooks 🚀. Contribute to ultralytics/notebooks development by creating an account on GitHub.
👍2👏2
Forwarded from Python | Machine Learning | Coding | R
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.iss.one/addlist/8_rRW2scgfRhOTc0
✅ https://t.iss.one/Codeprogrammer
Please open Telegram to view this post
VIEW IN TELEGRAM
👍3
This media is not supported in your browser
VIEW IN TELEGRAM
AI-Powered Digit Recognition Project is Here!
Unleashing the power of Computer Vision + Deep Learning + Speech Processing
Here’s what this awesome project can do:
✍️ Draw any digit on the screen
🧠 A custom CNN model (trained on MNIST with PyTorch) recognizes it instantly
🔊 The system speaks the digit out loud using speech synthesis
🎰 Achieves 97%+ accuracy on handwritten digits
🧩 Built using PyTorch + OpenCV
⚙️ Ready to evolve into a full OCR engine for complex handwriting/text
This real-time, interactive AI tool is a perfect example of applied machine learning in action!
📓 Notebook:
🔗 https://github.com/AlirezaChahardoli/MNIST-Classification-with-PyTorch
🔍 By: https://t.iss.one/DataScienceN5
Unleashing the power of Computer Vision + Deep Learning + Speech Processing
Here’s what this awesome project can do:
✍️ Draw any digit on the screen
🔊 The system speaks the digit out loud using speech synthesis
⚙️ Ready to evolve into a full OCR engine for complex handwriting/text
This real-time, interactive AI tool is a perfect example of applied machine learning in action!
📓 Notebook:
Please open Telegram to view this post
VIEW IN TELEGRAM
👍6❤2
This media is not supported in your browser
VIEW IN TELEGRAM
Adding TTT layers into a pre-trained Transformer enables generating a one-minute clip from text storyboards.
Videos, code & annotations released
#AI #VideoGeneration #MachineLearning #DeepLearning #Transformers #TTT #GenerativeAI
Please open Telegram to view this post
VIEW IN TELEGRAM
👍3🥰2
🚀 New Tutorial: Automatic Number Plate Recognition (ANPR) with YOLOv11 + GPT-4o-mini!
This hands-on tutorial shows you how to combine the real-time detection power of YOLOv11 with the language understanding of GPT-4o-mini to build a smart, high-accuracy ANPR system! From setup to smart prompt engineering, everything is covered step-by-step. 🚗💡
🎯 Key Highlights:
✅ YOLOv11 + GPT-4o-mini = High-precision number plate recognition
✅ Real-time video processing in Google Colab
✅ Smart prompt engineering for enhanced OCR performance
📢 A must-watch if you're into computer vision, deep learning, or OpenAI integrations!
🔗 Colab Notebook
▶️ Watch on YouTube
#YOLOv11 #GPT4o #OpenAI #ANPR #OCR #ComputerVision #DeepLearning #AI #DataScience #Python #Ultralytics #MachineLearning #Colab #NumberPlateRecognition
🔍 By : https://t.iss.one/DataScienceN
This hands-on tutorial shows you how to combine the real-time detection power of YOLOv11 with the language understanding of GPT-4o-mini to build a smart, high-accuracy ANPR system! From setup to smart prompt engineering, everything is covered step-by-step. 🚗💡
🎯 Key Highlights:
✅ YOLOv11 + GPT-4o-mini = High-precision number plate recognition
✅ Real-time video processing in Google Colab
✅ Smart prompt engineering for enhanced OCR performance
📢 A must-watch if you're into computer vision, deep learning, or OpenAI integrations!
🔗 Colab Notebook
▶️ Watch on YouTube
#YOLOv11 #GPT4o #OpenAI #ANPR #OCR #ComputerVision #DeepLearning #AI #DataScience #Python #Ultralytics #MachineLearning #Colab #NumberPlateRecognition
🔍 By : https://t.iss.one/DataScienceN
👍2❤1🔥1
🔷 Ultralytics YOLO11!🚀
Developed by Jing Qiu and Glenn Jocher, YOLO11 represents a major leap forward in object detection technology, reflecting months of dedicated research and development by the Ultralytics team.
✅ YOLO11 Key Features:
- Enhanced architecture for high-precision detection and complex vision tasks
- Faster inference speeds with balanced accuracy
- Higher precision while using 22% fewer parameters
- Seamlessly deployable across edge devices, cloud, and GPU systems
- Full support for:
🔹 Object Detection
🔹 Segmentation
🔹 Classification
🔹 Pose Estimation
🔹 Oriented Bounding Boxes (OBB)
---
⚡ Quick Start
Run inference instantly with:
yolo predict model="yolo11n.pt"
---
📎 Learn more and explore the documentation here:
🔗 https://ow.ly/mKOC50Tyyok
🔍 By : https://t.iss.one/DataScienceN
Developed by Jing Qiu and Glenn Jocher, YOLO11 represents a major leap forward in object detection technology, reflecting months of dedicated research and development by the Ultralytics team.
✅ YOLO11 Key Features:
- Enhanced architecture for high-precision detection and complex vision tasks
- Faster inference speeds with balanced accuracy
- Higher precision while using 22% fewer parameters
- Seamlessly deployable across edge devices, cloud, and GPU systems
- Full support for:
🔹 Object Detection
🔹 Segmentation
🔹 Classification
🔹 Pose Estimation
🔹 Oriented Bounding Boxes (OBB)
---
⚡ Quick Start
Run inference instantly with:
yolo predict model="yolo11n.pt"
---
📎 Learn more and explore the documentation here:
🔗 https://ow.ly/mKOC50Tyyok
🔍 By : https://t.iss.one/DataScienceN
👍4🔥1
🎓 2025 Top IT Certification – Free Study Materials Are Here!
🔥Whether you're preparing for #Cisco #AWS #PMP #Python #Excel #Google #Microsoft #AI or any other in-demand certification – SPOTO has got you covered!
📘 Download the FREE IT Certs Exam E-book:
👉 https://bit.ly/4lNVItV
🧠 Test Your IT Skills for FREE:
👉 https://bit.ly/4imEjW5
☁️ Download Free AI Materials :
👉 https://bit.ly/3F3lc5B
📞 Need 1-on-1 IT Exam Help? Contact Now:
👉 https://wa.link/k0vy3x
🌐 Join Our IT Study Group for Daily Updates & Tips:
👉 https://chat.whatsapp.com/E3Vkxa19HPO9ZVkWslBO8s
🔥Whether you're preparing for #Cisco #AWS #PMP #Python #Excel #Google #Microsoft #AI or any other in-demand certification – SPOTO has got you covered!
📘 Download the FREE IT Certs Exam E-book:
👉 https://bit.ly/4lNVItV
🧠 Test Your IT Skills for FREE:
👉 https://bit.ly/4imEjW5
☁️ Download Free AI Materials :
👉 https://bit.ly/3F3lc5B
📞 Need 1-on-1 IT Exam Help? Contact Now:
👉 https://wa.link/k0vy3x
🌐 Join Our IT Study Group for Daily Updates & Tips:
👉 https://chat.whatsapp.com/E3Vkxa19HPO9ZVkWslBO8s
👍1🔥1
This media is not supported in your browser
VIEW IN TELEGRAM
With Ultralytics Solutions, you can effortlessly detect, track, and count strawberries with precision.
Please open Telegram to view this post
VIEW IN TELEGRAM
👍5🍓2🥰1
Forwarded from Python | Machine Learning | Coding | R
Forget Coding; start Vibing! Tell AI what you want, and watch it build your dream website while you enjoy a cup of coffee.
Date: Thursday, April 17th at 9 PM IST
Register for FREE: https://lu.ma/4nczknky?tk=eAT3Bi
Limited FREE Seat !!!!!!
Date: Thursday, April 17th at 9 PM IST
Register for FREE: https://lu.ma/4nczknky?tk=eAT3Bi
Limited FREE Seat !!!!!!
This media is not supported in your browser
VIEW IN TELEGRAM
🚦 Traffic Lights Detection using Ultralytics YOLO11! 🧠🤖
Ultralytics YOLOv11 can be used for real-time detection of 🚫 red, ⚠️ yellow, and ✅ green traffic lights — boosting road safety, traffic management, and autonomous navigation 🛣️🚗
🌆 Unlock new possibilities in:
🌐 Smart city planning 🏙️
🚦 Adaptive traffic control
🔍 Computer vision-powered transportation systems
🚀 Get started now ➡️ https://ow.ly/XQyG50VgcR3
📡 By: https://t.iss.one/DataScienceN
Ultralytics YOLOv11 can be used for real-time detection of 🚫 red, ⚠️ yellow, and ✅ green traffic lights — boosting road safety, traffic management, and autonomous navigation 🛣️🚗
🌆 Unlock new possibilities in:
🌐 Smart city planning 🏙️
🚦 Adaptive traffic control
🔍 Computer vision-powered transportation systems
🚀 Get started now ➡️ https://ow.ly/XQyG50VgcR3
📡 By: https://t.iss.one/DataScienceN
👍1🔥1
Python | Machine Learning | Coding | R
Forget Coding; start Vibing! Tell AI what you want, and watch it build your dream website while you enjoy a cup of coffee. Date: Thursday, April 17th at 9 PM IST Register for FREE: https://lu.ma/4nczknky?tk=eAT3Bi Limited FREE Seat !!!!!!
Don't forget to attend this session!
❤1
This media is not supported in your browser
VIEW IN TELEGRAM
🔥 SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation, has been accepted at hashtag#CVPR2025! 🎉
make #SegmentAnything wiser by enabling it to understand text prompts—all with just 4.9M additional trainable parameters.
make #SegmentAnything wiser by enabling it to understand text prompts—all with just 4.9M additional trainable parameters.
👍3
🚀💡 What makes SAMWISE special?
🔹 Textual & Temporal Adapter for #SAM2 – We introduce a novel adapter that enables early fusion of text and visual features, allowing SAM2 to understand textual queries while modeling temporal evolution across frames.
🔹 Tracking Bias Correction – SAM2 tends to keep tracking an object even when a better match for the text query appears. Our learnable correction mechanism dynamically adjusts its focus, ensuring it tracks the most relevant object at every moment.
✨ State-of-the-art performance across multiple benchmarks:
✅ New SOTA on Referring Video Object Segmentation (RVOS)
✅ New SOTA on image-level Referring Segmentation (RIS)✅ Runs online
✅ Requires no fine-tuning of SAM2 weights
🚀 SAMWISE is the first text-driven segmentation approach built on SAM2 that achieves SOTA while staying lightweight and online.
🏠 Project page: https://lnkd.in/dtBHBVbG
💻 Code and models: https://lnkd.in/d-fadFGd
🔗 Paper: arxiv.org/abs/2411.17646
📡 By: https://t.iss.one/DataScienceN
🔹 Textual & Temporal Adapter for #SAM2 – We introduce a novel adapter that enables early fusion of text and visual features, allowing SAM2 to understand textual queries while modeling temporal evolution across frames.
🔹 Tracking Bias Correction – SAM2 tends to keep tracking an object even when a better match for the text query appears. Our learnable correction mechanism dynamically adjusts its focus, ensuring it tracks the most relevant object at every moment.
✨ State-of-the-art performance across multiple benchmarks:
✅ New SOTA on Referring Video Object Segmentation (RVOS)
✅ New SOTA on image-level Referring Segmentation (RIS)✅ Runs online
✅ Requires no fine-tuning of SAM2 weights
🚀 SAMWISE is the first text-driven segmentation approach built on SAM2 that achieves SOTA while staying lightweight and online.
🏠 Project page: https://lnkd.in/dtBHBVbG
💻 Code and models: https://lnkd.in/d-fadFGd
🔗 Paper: arxiv.org/abs/2411.17646
📡 By: https://t.iss.one/DataScienceN
LinkedIn
LinkedIn Login, Sign in | LinkedIn
Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.
👍1
🔥ENTER VIP FOR FREE! ENTRY 24 HOURS FREE!
LISA TRADER - most successful trader for 2024. A week ago they finished a marathon in their vip channel where from $100 they made $2000, in just two weeks of time!
Entry to her channel cost :$1500 FOR 24 ENTRY FREE!
JOIN THE VIP CHANNEL NOW!
JOIN THE VIP CHANNEL NOW!
JOIN THE VIP CHANNEL NOW!
LISA TRADER - most successful trader for 2024. A week ago they finished a marathon in their vip channel where from $100 they made $2000, in just two weeks of time!
Entry to her channel cost :
JOIN THE VIP CHANNEL NOW!
JOIN THE VIP CHANNEL NOW!
JOIN THE VIP CHANNEL NOW!
👍1
Instance segmentation vs semantic segmentation using Ultralytics 🔥
✅ Semantic segmentation classifies each pixel into a category (e.g., "car," "horse"), but doesn't distinguish between different objects of the same class.
✅ Instance segmentation goes further by identifying and separating individual objects within the same category (e.g., horse 1 vs. horse 2).
Each type has its strengths, semantic segmentation is more common in medical imaging due to its focus on pixel-wise classification without needing to distinguish individual object instances. Its simplicity and adaptability also make it widely applicable across industries.
🔗 https://docs.ultralytics.com/guides/instance-segmentation-and-tracking/
🌐 By: https://t.iss.one/DataScienceN
Each type has its strengths, semantic segmentation is more common in medical imaging due to its focus on pixel-wise classification without needing to distinguish individual object instances. Its simplicity and adaptability also make it widely applicable across industries.
Please open Telegram to view this post
VIEW IN TELEGRAM
Ultralytics
Instance Segmentation with Object Tracking
Master instance segmentation and tracking with Ultralytics YOLO11. Learn techniques for precise object identification and tracking.
👍2🔥2❤1
Forwarded from Python | Machine Learning | Coding | R
👍1