Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Darknet | 21,048 | 6 months ago | n,ull | other | C | |||||
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) | ||||||||||
Deep_learning_object_detection | 10,821 | 2 years ago | 5 | Python | ||||||
A paper list of object detection using deep learning. | ||||||||||
Techniques | 7,678 | 17 days ago | 2 | apache-2.0 | ||||||
Techniques for deep learning with satellite & aerial imagery | ||||||||||
Ailab | 7,620 | 10 months ago | 83 | mit | C# | |||||
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI | ||||||||||
Darkflow | 6,131 | 6 months ago | 644 | gpl-3.0 | Python | |||||
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices | ||||||||||
Nanodet | 5,416 | 4 months ago | 227 | apache-2.0 | Python | |||||
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥 | ||||||||||
Notebooks | 3,677 | 3 months ago | 33 | Jupyter Notebook | ||||||
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. | ||||||||||
Best_ai_paper_2020 | 2,157 | 2 years ago | mit | |||||||
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code | ||||||||||
Tensorflow2.0 Examples | 1,692 | a year ago | 99 | mit | Jupyter Notebook | |||||
🙄 Difficult algorithm, Simple code. | ||||||||||
Yolo_mark | 1,384 | 3 years ago | 139 | unlicense | C++ | |||||
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 |