YunYang1994/tensorflow-yolov3

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

51
/ 100
Established

This project helps computer vision engineers and researchers implement object detection workflows. It takes images or video as input and outputs bounding boxes and class labels for detected objects within them. This tool is designed for practitioners who need to deploy or customize a YOLOv3 object detection model.

3,624 stars. No commits in the last 6 months.

Use this if you need to quickly run or train a YOLOv3 object detection model using TensorFlow 2.0 on your own image or video datasets.

Not ideal if you are looking for an off-the-shelf application that doesn't require coding or working with machine learning frameworks.

object-detection computer-vision image-analysis video-analysis machine-learning-engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

3,624

Forks

1,336

Language

Python

License

MIT

Category

yolo-object-detection

Last pushed

Jul 04, 2024

Commits (30d)

0

GitHub
YOLO Object Detection · 132 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/YunYang1994/tensorflow-yolov3"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Compare

tensorflow-yolov3 and tensorflow-yolo-v3

Related frameworks

ultralytics/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

68

ultralytics/yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

64

mindspore-lab/mindyolo

A toolbox of yolo models and algorithms based on MindSpore

63

ultralytics/assets

Ultralytics assets

58

stephanecharette/DarkHelp

C++ wrapper library for Darknet

54

Explore ML Frameworks

All categories Trending ML Framework directory Insights