Explore tweets tagged as #YOLOv5
Night Vibes 😇 My computer just became a traffic maestro! 😅 I leveraged #YOLOv5 to identify and count cars, trucks, and buses in a real-world video. It's smart enough to know a vehicle is one vehicle, no matter how long it's in frame! 😎Showcasing #MachineLearning,
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🚗 Highly Cited! Enhanced Vehicle Detection with Improved YOLOv5 A #Vehicle Recognition Model Based on Improved #YOLOv5 Authors: Lei Shao, Han Wu, Chao Li and Ji Li Read the full paper here: https://t.co/eIGJMX2xTo
#VehicleDetection #ComputerVision #YOLOv5
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XREAL Eye で顔を認識して、その人の名前や役職が確認できる機能を作ってみました！ XREAL Eye を使用することでXREAL Oneでカメラ映像を取得することができるようになります。 顔認識はArcFaceとYolov5-faceを使用してモバイルデバイスのみで動作するようにしました。#XREAL
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オープンソースロボットカー (#ROS2 & #RaspberryPi5) https://t.co/ptnhHT41zj
#MentorPi #robot #ToF #LiDAR #SLAM #programming #OpenSource #YOLOv5 #STEMeducation #STEM教育 #プログラミング #オープンソース #ラズパイ #Hiwonder
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🚀From Detection to Action! 🤖 👀Check out how the #myCobot Pro 630 and #myGripper F100 seamlessly collaborate for precise object sorting and grasping, powered by #handEyeCalibration and #YOLOv5 recognition. 🌟Discover more👉 https://t.co/78IH7eq4c1
#Robotics #Tech #Innovation
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"Fine-tuning YOLOv5 to detect military vehicles on aerial imagery in ARMA 3" https://t.co/YIxIwYcZ2M
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tried using Tensorflow options, it didn't work...had to fall back on torch/Pytorch and I got this
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Satellites Spotting Ships https://t.co/UYxaIp8hot In this post, I train a model using YOLOv5 to detect ships in Umbra's Open Satellite Feed.
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Great paper https://t.co/Jv5CGywWs3 "... YOLOv5, YOLOv8, and YOLOv11, all developed by @Ultralytics, showcase a clear and steady advancement in performance, reflecting the team’s strong focus on refining and optimizing their models."
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🔧 Highly-cited paper published in #Electronics YOLO-MBBi: #PCB Surface Defect Detection Method Based on Enhanced #YOLOv5 Authors: Bowei Du, Fang Wan, Guango Lei, Li Xu, Chengzhi Xu and Ying Xiong from @HuBU_res
#PCBDefectDetection #YOLOv5 #MachineLearning
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24 #YOLO streams. 1 edge card. Real-time. Independent tests show sub-1 J/frame efficiency + consistent performance across YOLOv5 → YOLOv8. Multi-stream vision at the edge is finally practical: Retail. Security. Robotics. Is this where you imagined things going? 👉
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Pi5 4GB導入！ちょっと触ってPi4より��いぶ速いのがわかる V2.1カメラを使ってAI HAT+のデモにあるObject Detection試してみるとYolov8とYolov5 Person and Face modelはサクッと動いた。Yolov6とYoloXがHailoRT not ready! しちゃってる
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Ever tried building your own Computer Vision pipeline from scratch? iNeuron just made it stupid simple with a full 11-part playlist. > TensorFlow & PyTorch image classification > YOLOv5–v8 object detection > Detectron2 segmentation and tracking > GANs to generate new
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風邪で寝込んでいたため約1週間ぶりですが今日もhailo使っていきますか〜😄 #YOLOv5 #ObjectDetection #MachineLearning #DeepLearning #AI #Python #PyTorch #ディープラーニング #画像認識 #物体検出 #プログラミング #RaspberryPi #ラズパイ #電子工作
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@chazman @chrisramon_ @cybertruck Based on your past posts, your setup uses a FOSCAM 18x zoom camera providing an RTSP feed. A custom Python script runs YOLOv8 (updated from YOLOv5) for object detection, spotting Teslas like Cybertrucks at your unprotected left turn. It sends Telegram notifications upon
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We are having fun (an effort led by @renatopsmendes) playing with autonomous robots for maritime litter identification: LitterEye - Automatic Underwater Trash Detection Using YOLOv5 https://t.co/gDAxy98qCx
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🤖Explore how the #cobot #myCobotPro630 combines with the #force-controlled gripper #myGripperF100 to achieve precise object sorting and grasping! 🔍With #technology like #hand-eye calibration and #YOLOv5 recognition, you're set for success in #robotics👉 https://t.co/78IH7eqC1z.
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