Alamanda Bhaskar’s Post

Hello connections! I'm excited to share that I have completed my task "Object detection using yolo".As a part of AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society and Under the expert guidance of Sai Satish Sir, I have successfully developed a People detection model. ->Utilized YOLO v8 model for object detection. ->Used People Detection Image Dataset from roboflow ->Implemented the project on Google Colab. ->Successfully detected people in stadium video footage. #AIMERS #AIMERSOCIETY #YOLOv8 #ComputerVision #Objectdetection #AIRevolution #AIForGood #IndianServers #MachineLearning #Technology #Innovation

Title: Revolutionize Image Processing with Grounded-Segment-Anything 🌟🖼️ Description: 🚀 Dive into the future of image processing with Grounded-Segment-Anything! This groundbreaking project merges the powers of Grounding DINO and Segment Anything, enabling automatic object detection and segmentation through text inputs. Witness the magic as images come to life, responding dynamically to your descriptions. From automating image annotation to revolutionizing dataset creation, the possibilities are endless! #GroundedSegmentAnything #ComputerVision #AIInnovation #ImageProcessing #FutureTech #GroundedSegmentAnything #ComputerVision #AIInnovation #ImageProcessing #FutureTech #AutomatedSegmentation #ObjectDetection #TextToImage #MachineLearning #DeepLearning

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

Object detection using YOLO (You Only Look Once) involves a series of steps to train and deploy a model capable of detecting and localizing objects in images or videos in real-time. Below is a comprehensive guide on how to perform object detection using YOLO. AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society #artificialintelligence

Excited to share that I have successfully implemented the Lucas-Kanade method for finding optical flow images! Each step forward is a thrilling achievement. Next up, I'll be implementing the FlowNet method using CNNs. Looking forward to sharing the results soon! 🚀 #MachineLearning #ComputerVision #OpticalFlow #DeepLearning

Hello! Connections!! Excited to share that I've completed a task on 'Object Detection using YOLO, trained by Sai Satish Sir, at the AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society. Object detection with YOLO (You Only Look Once) is a cutting-edge method in computer vision for real-time object detection and classification. YOLOv8 stands out as the most effective version for our objectives, enhanced further by the use of CNN in achieving precise results. These tools play a crucial role in simplifying both work and life, offering innovation that shapes our everyday experiences. #LOVE troo #AIMERSociety #Objectdetection #YOLO #CNN #Roboflow

🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀

🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀

🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀

Thrilled to explore advanced pose estimation using MediaPipe! 🛠️ The precision of skeletal prediction, even in side views, is remarkable. Looking forward to fine-tuning this model and integrating it into an upcoming project that’s been in the works. Exciting times ahead in the realm of computer vision! 🔥 #ComputerVision #MediaPipe #PoseEstimation #AIInnovation #DeepLearning #CVTech