For a month I've been working on an open source tool for labelling images in a browser - here it is makesense.ai
Maybe you'll find it useful in the next ML/CV project?
visit GH: github.com/SkalskiP/make-
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Piotrek Skalski
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First Interview 🔥🔥🔥
It was great to meet and chat about processing satellite and aerial images. 📸 🛰️
⮑ 🔗 link:
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detecting objects in the zone 🔥🔥🔥
Work on the next YouTube video is gaining momentum! Stop by the Twitch stream to say hello and see how I'm doing 👋
⮑ 🔗 stream link: lnkd.in/drQM2HhF
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Live Coding - YOLOv5 / v8 + Supervision 🔴
Hi all 👋 I'm working on my next YouTube video. I've got a lot of programming to do, so I decided it was an excellent opportunity to stream on Twitch. Drop in if you want to chat 💬
⮑ 🔗 link:
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I just love computer vision 👁️
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This is mind blowing technology. Generative AI will completely change how films are made.
From: @Flawlessai
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YOLOv8 Track & Count tutorial is out! 🔥🔥🔥
Let me show you how to use YOLOv8, ByteTrack, and Supervision to detect, track and count moving objects. 🚗
youtu.be/OS5qI9YBkfk
#computervision #objectdetection #tracking #yolo #yolov8
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Image segmentation is messy; there's instance, semantic and panoptic segmentation, with models tailored to one of these 3 tasks.
Luckily, we now have "universal segmentation" models, capable of solving all 3 with a single model.🤯
Read more in our blog:
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2nd part of my YOLOv8 tutorial is out! 🔥🔥🔥
This time and I covered instance segmentation. I hope you like it. The recording process was a bit painful... 😴 But we managed to train a really cool model! 🔥
youtu.be/pFiGSrRtaU4
#deeplearning #yolov8
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2nd part of my YOLOv8 tutorial is out! 🔥🔥🔥
This time and I covered instance segmentation. I hope you like it. The recording process was a bit painful... 😴 But we managed to train a really cool model! 🔥
youtu.be/pFiGSrRtaU4
#deeplearning #yolov8
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I just added 3 fresh tutorials to Notebooks 💜
At this point, it is pretty much a one-stop shop if you want to learn how to train YOLOv8 models. 😤
link: github.com/roboflow/noteb
#neuralnetworks #yolov8 #ComputerVision
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Back on Twitch short break! Drop by to say Hi! 👋
Kaggle 🏈 Player Contact Detection 2023 - Stream #1
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On the Seventh Day of #Shipmas, Roboflow gave to me: Read/Write API Methods.
You can now automate common workflows like generating datasets, exporting versions, and training models via Roboflow's API and pip package!
Docs: docs.roboflow.com/python/platfor
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ICYMI Roboflow has released Notebooks, a repo of more than 15 notebooks you can use to train and work with various state-of-the-art models, from SegFormer to YOLOv7. 💻
Advance your computer vision learning and train your own models using Notebooks:
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👨💻 Je viens de tester un code qui associe YOLO pour la détection vidéo dans le football on obtient quelque chose d'incroyable 🔥 J'avais encore jamais essayer ça très intéressant 🚶🏾♂️... #ArtificialIntelligence
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Intéressant , je venais de tester ça. En développant ce projet on peut obtenir les mêmes fonctions que des applications comme Metrica sport ou Statbomb 🚶🏾♂️... #pyStats
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Football Players Tracking with YOLOv5 + ByteTRACK Tutorial! 
The link to the full step-by-step tutorial on YouTube is in the comments. 
#deeplearning #computervision #football #FIFAWorldCup #NeuralNetworks #Artificial_Intelligence
The link to the full step-by-step tutorial on YouTube is in the comments.
#deeplearning #computervision #football #FIFAWorldCup #NeuralNetworks #Artificial_IntelligenceShow this thread
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Speed 💨 vs Accuracy 🎯 Trade-off
YOLOv7 (left) and OneFormer (right)
#DeepLearning #neuralnetworks #computervision #ArtificialIntelligence #AI #YOLO #Transformers
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RoboflowからYOLOv5 + ByteTrackを使って選手・ボールをトラッキングするノートブックが公開！
精度も高そうだし、かっこいい可視化＆ポゼッション検出のデモコードが含まれていて参考になります。
github.com/roboflow-ai/no
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Football Players Pose Estimation Tutorial! 🔥
The link to the full step-by-step tutorial on YouTube is in the comments. 👇
#deeplearning #computervision #football #FIFAWorldCup #NeuralNetworks #artificial_intelligence
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Football Players Pose Estimation Tutorial! 🔥
The link to the full step-by-step tutorial on YouTube is in the comments. 👇
#deeplearning #computervision #football #FIFAWorldCup #NeuralNetworks #artificial_intelligence
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at Roboflow used YOLOv5 and ByteTRACK to track football players and the position of a ball in a game ⚽
This project lets you easily see where all players are and what player is closest to the ball on a field.
Learn more on our blog:
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Football Players Tracking with YOLOv5 + ByteTRACK Tutorial! 🔥
The link to the full step-by-step tutorial on YouTube is in the comments. 👇
#deeplearning #computervision #football #FIFAWorldCup #NeuralNetworks #Artificial_Intelligence
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YouTube video: youtu.be/QCG8QMhga9k
Jupyter notebook: github.com/roboflow-ai/no
Notebooks repository: github.com/roboflow-ai/no
YOLOv5 repository: github.com/ultralytics/yo
ByteTRACK repository:
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Football Players Tracking with YOLOv5 + ByteTRACK Tutorial! 🔥
The link to the full step-by-step tutorial on YouTube is in the comments. 👇
#deeplearning #computervision #football #FIFAWorldCup #NeuralNetworks #Artificial_Intelligence
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Live coding session going on now on with ’s new ML Growth Engineer, Piotr ()!
Rock, Paper, Scissors Game with YOLOv5 , , and
Tune in! twitch.tv/skalskip
#computervision #machinelearning #yolov5 #deeplearning
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Are you looking for high-quality Computer Vision tutorials? 🔥
I have a new repository to recommend. Notebook 💜 contains all tutorials created by the team over the last few years.
github.com/roboflow-ai/no
#deeplearning #machinelearning #computervision #yolo #ai
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Are you looking for high-quality Computer Vision tutorials? 🔥
I have a new repository to recommend. Notebook 💜 contains all tutorials created by the team over the last few years.
github.com/roboflow-ai/no
#deeplearning #machinelearning #computervision #yolo #ai
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does anyone else regularly hold Cmd+Z to go back a few dozen edits, copy and paste something, and then hold Shift+Cmd+Z to go forward to the latest state
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5 computer vision model formats I use on a weekly basis
1) object detection
2) single-label image classification
3) multi-label image classification
4) semantic segmentation
5) instance segmentation
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Do you love or hate #detectron2 🤖🤔
youtube.com/watch?v=e8LPfl
#computervision #deeplearning #neuralnetwork
YOLOv5 🤙 - arguably one of the most influential and successfully #imageclassification model ever!
just released a new #tutorial , and I have I pleasure to take you thought it. 🔥🔥🔥
youtube.com/watch?v=DPjp9K
#deeplearning #computervision #yolov5
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YOLOv5 🤙 - arguably one of the most influential and successfully #imageclassification model ever!
just released a new #tutorial , and I have I pleasure to take you thought it. 🔥🔥🔥
youtube.com/watch?v=DPjp9K
#deeplearning #computervision #yolov5
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It happened! My first YouTube video is online. I was terribly stressed out! 😓🤯
Take a peek if you want to learn how to train YOLOv5 instance segmentation model! 👀 And be sure to let me know what you think.
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Well this is interesting 🧐
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@github copilot, with "public code" blocked, emits large chunks of my copyrighted code, with no attribution, no LGPL license. For example, the simple prompt "sparse matrix transpose, cs_" produces my cs_transpose in CSparse. My code on left, github on right. Not OK.
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Makesense.ai is a pretty cool tool to generate labeled data for training ML models.
It even lets you download In Yolo format.
An excellent example of simple thing done well.
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Day 19 of #66daysofdata #DataScience #100DaysOfCode
Today, working mostly on annotating the images frame that we extracted using the tool Makesense.ai
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I tried to learn object detection. I prepared image data in makesense.ai
The correct info label should be SARS_CoV_2, not COVID 19 :).
#Pytorch #Python #ML #AI #Artificial_Intelligence #DeepLearning #programming #virology #biology #epidemiology
read image description
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