human-detection VS yolo-tf2

Compare human-detection vs yolo-tf2 and see what are their differences.

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human-detection yolo-tf2
1 1
27 747
- -
0.0 7.6
11 months ago 7 months ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of human-detection. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning human-detection yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of yolo-tf2. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning yolo-tf2 yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing human-detection and yolo-tf2 you can also consider the following projects:

Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries

deepsparse - Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

onnx-tensorflow - Tensorflow Backend for ONNX

xview-yolov3 - xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.