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Top 23 yolov8 Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
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FastDeploy
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
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mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
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anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
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autodistill
Images to inference with no labeling (use foundation models to train supervised models).
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inference
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models. (by roboflow)
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TensorRT-For-YOLO-Series
tensorrt for yolo series (YOLOv8, YOLOv7, YOLOv6, YOLOv5), nms plugin support
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AS-One
Easy & Modular Computer Vision Detectors and Trackers - Run YOLO-NAS,v8,v7,v6,v5,R,X in under 20 lines of code.
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DashcamCleaner
Censor identifiable information in videos, in particular dashcam recordings in Germany.
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firescrew
Firescrew - Spotting moving objects on your RTSP network cameras faster than a caffeinated cat!
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Yolov8-Segmentation-on-Browser
Example of YOLOv8 Segmentation on Browser. It is powered by Onnx and served through JavaScript without any frameworks
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SaaSHub
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Project mention: The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub | news.ycombinator.com | 2024-02-12Yep, I noticed this a while ago. It posts easily identifiable ChatGPT responses. It also posts garbage wrong answers which makes it worse than useless. Totally disrespectful to the userbase.
https://github.com/ultralytics/ultralytics/issues/5748#issue...
Yeah, inference[1] is our open source package for running locally (either directly in Python or via a Docker container). It works with all the models on Universe, models you train yourself (assuming we support the architecture; we have a bunch of notebooks available[2]), or train in our platform, plus several more general foundation models[3] (for things like embeddings, zero-shot detection, question answering, OCR, etc).
We also have a hosted API[4] you can hit for most models we support (except some of the large vision models that are really GPU-heavy) if you prefer.
[1] https://github.com/roboflow/inference
[2] https://github.com/roboflow/notebooks
[3] https://inference.roboflow.com/foundation/about/
[4] https://docs.roboflow.com/deploy/hosted-api
Project mention: AnyLabeling Auto-labeling with MobileSAM - the newest and fastest variant of Segment Anything | /r/computervision | 2023-06-28Check out AnyLabeling v0.3.2 today: https://github.com/vietanhdev/anylabeling/releases/tag/v0.3.2.
Roboflow | Open Source Software Engineer, Web Designer / Developer, and more. | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0224
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.
Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models[2]. We are pushing forward the CV ecosystem with open source projects like Autodistill[3] and Supervision[4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog[5] and YouTube channel[6].
We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)
We're currently hiring full-stack engineers for our ML and web platform teams, a web developer to bridge our product and marketing teams, several technical roles on the sales & field engineering teams, and our first applied machine learning researcher to help push forward the state of the art in computer vision.
[1]: https://roboflow.com/?ref=whoishiring0224
[2]: https://roboflow.com/universe?ref=whoishiring0224
[3]: https://github.com/autodistill/autodistill
[4]: https://github.com/roboflow/supervision
[5]: https://blog.roboflow.com/?ref=whoishiring0224
[6]: https://www.youtube.com/@Roboflow
Yeah, inference[1] is our open source package for running locally (either directly in Python or via a Docker container). It works with all the models on Universe, models you train yourself (assuming we support the architecture; we have a bunch of notebooks available[2]), or train in our platform, plus several more general foundation models[3] (for things like embeddings, zero-shot detection, question answering, OCR, etc).
We also have a hosted API[4] you can hit for most models we support (except some of the large vision models that are really GPU-heavy) if you prefer.
[1] https://github.com/roboflow/inference
[2] https://github.com/roboflow/notebooks
[3] https://inference.roboflow.com/foundation/about/
[4] https://docs.roboflow.com/deploy/hosted-api
Project mention: Sharing an automatic tool I built for video background removal (free and better than runwayml) | /r/StableDiffusion | 2023-05-04
Website: https://savant-ai.io/
Project mention: Record a chess game live and upload the PGN to Lichess | news.ycombinator.com | 2023-12-16
Project mention: Revolutionize Your FPS Experience with AI: Introducing the YOLOv8 Aimbot 🔥 | /r/computervision | 2023-12-08This isn't just another aimbot; it's a next-level, AI-driven aiming assistant powered by cutting-edge computer vision technology. It uses the YOLOv8 model to pinpoint and track enemies with unerring accuracy. Ready to see it in action? Check this out! 👀 YOLOv8 Aimbot in Action!
Project mention: Über welches Thema könntest du eine 30-minütige Präsentation halten, ohne jede Vorbereitung? | /r/FragReddit | 2023-05-06
You can find the latest releases here: https://github.com/8ff/firescrew
yolov8 related posts
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The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub
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The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub
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My kid sounds like ChatGPT, and soon yours might, too
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Breaking the Myth: Object Detection Isn't Hard as Thought
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How to load the optimizer state_dicts in yolov8?
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Autodistill: A new way to create CV models
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Show HN: Pip install inference, open source computer vision deployment
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A note from our sponsor - SaaSHub
www.saashub.com | 2 May 2024
Index
What are some of the best open-source yolov8 projects? This list will help you:
Project | Stars | |
---|---|---|
1 | ultralytics | 22,973 |
2 | tensorrtx | 6,584 |
3 | notebooks | 4,164 |
4 | FastDeploy | 2,715 |
5 | mmyolo | 2,708 |
6 | anylabeling | 1,852 |
7 | autodistill | 1,529 |
8 | inference | 1,031 |
9 | segment-anything-video | 907 |
10 | TensorRT-For-YOLO-Series | 793 |
11 | AS-One | 575 |
12 | Savant | 480 |
13 | yolov8-face | 386 |
14 | ClashRoyaleBuildABot | 178 |
15 | CameraChessWeb | 166 |
16 | mltu | 144 |
17 | yolov8_aimbot | 129 |
18 | DashcamCleaner | 122 |
19 | libonvif | 120 |
20 | firescrew | 118 |
21 | Deepstream | 84 |
22 | yolov8-seg-onnxruntime-web | 24 |
23 | Yolov8-Segmentation-on-Browser | 13 |
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