sjinzh/awesome-yolo-object-detection: 🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
Posted by jpluimers on 2026/03/24
On my research list: [Wayback/Archive] sjinzh/awesome-yolo-object-detection: 🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
YOLO (You Only Look Once) is a series of computer vision algorithms and libraries based on training data that does ultra-fast object recognition. Most of it is written in Python with the more recent versions all using Pytorch, though interface from various other languages and environments are available. The above article lists them all.
A long time ago I gave a presentation on a few conferences using computer vision of which I blogged about the first one: Spoken @ DevDays 2009 NL – download is online: .NET & hardware – capture video & control servos, in a fun application
My presentation (.NET & hardware – capture video & control servos, in a fun application) was as a GeekNight session.
That imposed geeky stuff, but in addition it addressed an important point: there will be many more means of interaction.
In particular, my ‘geek’ combination of hardware and software would react on movements seen by the webcam by pointing the beam of the laserpointer towards the largest area that moved.
So it is cool to revisit the topic by for now a link dump:
YOLOv8
- [Wayback/Archive] ultralytics/ultralytics: NEW – YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
- [Wayback/Archive] [2207.02696] YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- [Wayback/Archive] YOLO Object Detection Explained: A Beginner’s Guide | DataCamp
YOLOv8
- [Wayback/Archive] WongKinYiu/yolov7: Implementation of paper – YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- [Wayback/Archive] YOLOv7 How to Use ? – Best Tutorial simple
YOLOv6
YOLOV1
Based on the original paper at the bottom of this list:
- [Wayback/Archive] YOLO — You only look once, real time object detection explained | by Manish Chablani | Towards Data Science
- [Wayback/Archive] YOLO: Real-Time Object Detection
- [Wayback/Archive] Understanding a Real-Time Object Detection Network: You Only Look Once (YOLOv1) – PyImageSearch
- [Wayback/Archive] pjreddie/darknet: Convolutional Neural Networks
- [Wayback/Archive] [1506.02640] You Only Look Once: Unified, Real-Time Object Detection
We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation. Since the whole detection pipeline is a single network, it can be optimized end-to-end directly on detection performance.
Our unified architecture is extremely fast. Our base YOLO model processes images in real-time at 45 frames per second. A smaller version of the network, Fast YOLO, processes an astounding 155 frames per second while still achieving double the mAP of other real-time detectors. Compared to state-of-the-art detection systems, YOLO makes more localization errors but is far less likely to predict false detections where nothing exists. Finally, YOLO learns very general representations of objects. It outperforms all other detection methods, including DPM and R-CNN, by a wide margin when generalizing from natural images to artwork on both the Picasso Dataset and the People-Art Dataset.
Queries
A truckload as well (:
- [Wayback/Archive] you only look once – Google Search
- [Wayback/Archive] you only look once source code yolov8 – Google Search
- [Wayback/Archive] you only look once source code yolov7 – Google Search
- [Wayback/Archive] you only look once source code – Google Search
- [Wayback/Archive] “you only look once” “.NET” – Google Search
- [Wayback/Archive] “you only look once” “C – Google Search
- [Wayback/Archive] “you only look once” “delphi” – Google Search
- [Wayback/Archive] GitHub: you only look once: repositories
Via
This remark in [Wayback/Archive] Angrynerds 086 – Gone in 37 minutes – YouTube
#17 #YOLO (You Only Look Once)
–jeroen
PS
I need to figure out why the 2009 conference downloads didn’t make it to [Wayback/Archive] jpluimers/Conferences: Materials for the conferences that Jeroen Wiert Pluimers spoke on.
//end
The Wiert Corner - irregular stream of stuff 
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