AlexeyAB/darknet
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YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
19 mentions on Hacker News by 14 people: 1 story, 18 comments · first 2018-10-28 · latest 2025-11-22
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…YOLO11n/s/m/l/x, [1] https://pjreddie.com/darknet/yolo/ [2] https://github.com/pjreddie/darknet [3] https://github.com/AlexeyAB/darknet [4] https://github.com/ultralytics/ultralytics [5] https://github.com/ultralytics/ultralytics/tree/main/…
comment by bArray · 2025-11-22 · in Why DETRs are replacing YOLOs for real-time object detection -
…collected by us. Whole framework actual used for final products is completely written in Nim. [0] https://github.com/AlexeyAB/darknet [1] https://github.com/AlexeyAB/darknet/blob/master/LICENSE
comment by eagledotRL · 2022-06-11 · in Show HN: Computer Vision Models for Developers -
…4 FPS of detection. For comparison, tuned version on Jetson Xavier (NVidia dev board) does 40FPS. https://github.com/AlexeyAB/darknet https://github.com/indra4837/yolov4_trt_ros
comment by lostmsu · 2021-10-20 · in Google Pixel 6 and Pixel 6 Pro -
…in the realm of computer vision, but I would recommend checking out AlexeyAB's fork of Darknet: https://github.com/AlexeyAB/darknet It's got decent CUDA acceleration, I personally run a GTX 960M for training.
comment by bArray · 2021-07-19 · in Ask HN: Reinforcement learning for single, lower end graphic cards? -
…ps://gist.github.com/YashasSamaga/e2b19a6807a13046e399f4b... (download links for yolov4.weights is at https://github.com/AlexeyAB/darknet ) Using this, you will be able to detect if a cat is present in your image.
comment by winchester6788 · 2020-10-30 · in Lobe.ai – A simple tool for training machine learning models -
…top pages about "YOLOv5" were done by roboflow, including the first official announcement.[5] [1] https://github.com/AlexeyAB/darknet/issues/5920 [2] https://github.com/ultralytics/yolov5/issues/2 [3] https://github.com/AlexeyAB/darknet/iss…
comment by CompleteSkeptic · 2020-08-04 · in PP-YOLO Surpasses YOLOv4 – State-of-the-art object detection techniques -
…of darknet/yolo should have more say. [2] [1] https://github.com/ultralytics/yolov5/issues/2 [2] https://github.com/AlexeyAB/darknet/issues/5920
comment by voqv · 2020-06-14 · in Responding to the Controversy about YOLOv5 -
…on the issues thread in question [1] with fuller remarks + reproducible Colab notebooks. [1] https://github.com/AlexeyAB/darknet/issues/5920#issuecomment...
comment by rocauc · 2020-06-12 · in Responding to the Controversy about YOLOv5 -
…and a request for the community to weigh in. [1] https://news.ycombinator.com/item?id=23478151 [2] https://github.com/AlexeyAB/darknet/issues/5920#issuecomment...
comment by yeldarb · 2020-06-12 · in Responding to the Controversy about YOLOv5 -
…on YOLOv4, and the darknet maintainer, so yes. This is pretty much the official word on the matter: https://github.com/AlexeyAB/darknet/issues/5920#issuecomment... Despite that, there was still a lot of controversy over the decision to…
comment by joshvm · 2020-06-11 · in YOLOv5: State-of-the-art object detection at 140 FPS -
AlexeyAB seems to have gotten endorsement from pjreddie: https://github.com/AlexeyAB/darknet/issues/5920#issuecomment...
comment by nerderloo · 2020-06-11 · in YOLOv5: State-of-the-art object detection at 140 FPS -
…of the project. This is quite damning. [1] https://github.com/pjreddie/darknet/issues/1900 [2] https://github.com/AlexeyAB/darknet [3] https://github.com/AlexeyAB/darknet/graphs/contributors [4] https://github.com/pjreddie/darknet/graphs/co…
comment by bArray · 2020-06-10 · in YOLOv5: State-of-the-art object detection at 140 FPS -
…the network [2]. I filed a ticket to get to the bottom of this with the creators of YOLOv4: https://github.com/AlexeyAB/darknet/issues/5920 [1] https://github.com/ultralytics/yolov5/issues/2 [2] https://github.com/ultralytics/yolov5/issues/…
comment by bArray · 2020-06-10 · in YOLOv5: State-of-the-art object detection at 140 FPS -
…EDIT: Alexey, author of YOLOv4, provided benchmarks of YOLOv4 hitting much higher FPS here: https://github.com/AlexeyAB/darknet/issues/5920#issuecomment...
comment by rocauc · 2020-06-10 · in YOLOv5: State-of-the-art object detection at 140 FPS -
…by AlexeyAB [0] (now on YOLOv4) is one people should also consider using moving forward[1]. [0] https://github.com/AlexeyAB/darknet [1] https://mobile.twitter.com/pjreddie/status/12538910781821992...
comment by qchris · 2020-05-26 · in Sod – An Embedded Computer Vision and Machine Learning Tiny C Library -
And code on Github: https://github.com/AlexeyAB/darknet PyTorch version: https://github.com/Tianxiaomo/pytorch-YOLOv4
comment by punnerud · 2020-04-27 · in YOLOv4: Optimal Speed and Accuracy of Object Detection -
This is the same for MS COCO: https://github.com/AlexeyAB/darknet/issues/4085 Lots of datasets are semi-automatically generated, with human oversight. Sometimes annotators miss things or are just plain lazy.
comment by joshvm · 2020-02-11 · in A popular self-driving car dataset is missing labels for hundreds of pedestrians -
AlexeyAB's fork [0] has a ton of improvements on the original implementation linked here. [0] https://github.com/AlexeyAB/darknet
comment by cabernal · 2018-10-28 · in Darknet – A neural network framework written in C and CUDA