Srigakulupu Likitha’s Post

Excited to share a project milestone! Leveraging YOLOv8 for object detection on a dynamic flight dataset has been an exhilarating journey. * AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society Society - Artificial Intelligence Medical and Engineering Researchers Society, we've implemented YOLOV8 to accurately detect and track objects in real-time from aerial footage. This cutting-edge model's robustness in handling moving objects has significantly enhanced our capability to analyze and understand dynamic environments. Key highlights: Precision and Speed: YOLOv8's advanced architecture ensures precise detection of various objects, even in challenging scenarios like fast-moving aerial perspectives. Performance Boost: By leveraging state-of-the-art techniques, we've achieved remarkable improvements in both accuracy and speed, crucial for real-world applications. Our commitment to pushing the boundaries of computer vision drives us to explore new frontiers in Al-driven solutions. Stay tuned as we continue to innovate and apply these advancements across industries. Sai Satish #ObjectDetection #ComputerVision #AI #YOLOv8 #Innovation #TechSolutions #Allnnovation #DataScience #DeepLearning

🚀 Excited to share a project milestone! Leveraging YOLOv8 for object detection on a dynamic flight dataset has been an exhilarating journey. 🌟 At AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society, we've implemented YOLOv8 to accurately detect and track objects in real-time from aerial footage. This cutting-edge model's robustness in handling moving objects has significantly enhanced our capability to analyze and understand dynamic environments. Key highlights: 🔍 Precision and Speed: YOLOv8's advanced architecture ensures precise detection of various objects, even in challenging scenarios like fast-moving aerial perspectives. 📈 Performance Boost: By leveraging state-of-the-art techniques, we've achieved remarkable improvements in both accuracy and speed, crucial for real-world applications. Our commitment to pushing the boundaries of computer vision drives us to explore new frontiers in AI-driven solutions. Stay tuned as we continue to innovate and apply these advancements across industries. Sai Satish #ObjectDetection #ComputerVision #AI #YOLOv8 #Innovation #TechSolutions #AIInnovation #DataScience #DeepLearning

🔍 YOLOv9: Revolutionizing Object Detection with Programmable Gradient Information 🔍 I am thrilled to unveil an innovative leap in object detection technology: YOLOv9, a new milestone in the YOLO series, known for pushing the boundaries of computer vision. ❓ What is YOLOv9? YOLOv9 introduces the groundbreaking Programmable Gradient Information (PGI), enhancing model training efficiency and performance. Coupled with the GELAN network architecture, YOLOv9 excels in processing efficiency and accuracy, setting new standards for object detection tasks. 💡 Innovative Features of YOLOv9 This version leverages PGI for optimizing input data relevance and employs the lightweight GELAN architecture for superior parameter efficiency. These features ensure that YOLOv9 not only outperforms its predecessors but also paves the way for new applications in computer vision, from real-time surveillance to autonomous driving. 🌐 Implications for Computer Vision YOLOv9's advancements signify a major step forward in developing more intuitive and responsive AI systems. Its ability to learn effectively from complex environments heralds a new era of machine perception. 🚀 Looking Forward with YOLOv9 The introduction of YOLOv9 marks a promising advance towards achieving unprecedented accuracy and speed in real-time object detection, opening doors to innovative applications across various fields. Discover more about this fascinating development and its potential impact on the future of AI and computer vision here: YOLOv9 Paper: https://lnkd.in/dbNPM5Zs Paper Implementation Repo: https://lnkd.in/dx-EJKKF #ArtificialIntelligence #YOLOv9 #ObjectDetection #ComputerVision #Innovation

#cvpr2024 #wicv2024 🌟 Excited to announce that our paper "GestFormer: Multiscale Wavelet Pooling Transformer Network for Dynamic Hand Gesture Recognition" will be presented at #CVPR24! 🌟 workshop for women in computer vision 🕒 Join us at the poster session from 12:30 PM to learn about our innovative approach to gesture recognition using a resource-efficient transformer model. Key highlights: - Proposes GestFormer, a novel architecture for dynamic hand gesture recognition. - Utilizes PoolFormer for efficient token mixing and wavelet transform for space-invariant feature extraction. - Achieves superior performance with fewer parameters on datasets like NVidia Dynamic Hand Gesture and Briareo. - Experiments were conducted on multiple modalities, including infrared, depth, and optical flow. We invite you to explore the details of our work and engage with us during the session. Read the full paper here: [GestFormer: Multiscale Wavelet Pooling Transformer Network for Dynamic Hand Gesture Recognition](https://lnkd.in/gqWYdWtP) #CVPR2024 #AI #MachineLearning #DeepLearning #GestureRecognition #TransformerModels #Research #Innovation Mallika Garg, Debashis Ghosh, Pyari Mohan Pradhan

I recently completed an object detection project using YOLOv8, leveraging a dataset from Roboflow Universe. The project focused on enhancing our capabilities in real-time image processing. Key Highlights: - YOLOv8 Model: Known for its speed and accuracy in object detection, ideal for applications requiring fast and reliable object recognition. - Dataset: Leveraged Roboflow Universe’s diverse dataset to ensure our model was well-trained to detect objects under various conditions. - Implementation: - Data Preparation: Annotated and preprocessed using Roboflow tools. - Training: Trained YOLOv8 on the dataset to enhance accuracy and efficiency. - Evaluation: Tested the model, achieving high precision, recall, and F1-score. The results were impressive, underscoring YOLOv8’s effectiveness in object detection. #AIMERS #AIMERSOCIETY #OBJECTDETECTION #YOLOV8 AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society

Discover how AI is revolutionizing the engineering field by speeding up design and optimization processes. Dive into our latest blog to explore the dynamic duo of AI and simulation technology.

Discover how AI is revolutionizing the engineering field by speeding up design and optimization processes. Dive into our latest blog to explore the dynamic duo of AI and simulation technology.

Discover how AI is revolutionizing the engineering field by speeding up design and optimization processes. Dive into our latest blog to explore the dynamic duo of AI and simulation technology.

Discover how AI is revolutionizing the engineering field by speeding up design and optimization processes. Dive into our latest blog to explore the dynamic duo of AI and simulation technology.

I recently completed an object detection project using YOLOv8, leveraging a dataset from Roboflow Universe. The project focused on enhancing our capabilities in real-time image processing. Key Highlights: - YOLOv8 Model: Known for its speed and accuracy in object detection, ideal for applications requiring fast and reliable object recognition. - Dataset: Leveraged Roboflow Universe’s diverse dataset to ensure our model was well-trained to detect objects under various conditions. - Implementation: - Data Preparation: Annotated and preprocessed using Roboflow tools. - Training: Trained YOLOv8 on the dataset to enhance accuracy and efficiency. - Evaluation: Tested the model, achieving high precision, recall, and F1-score. The results were impressive, underscoring YOLOv8’s effectiveness in object detection. #AIMERS #AIMERSOCIETY #OBJECTDETECTION #YOLOV8 AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society