computervision-recipes VS synthetic-dataset-object-detection

Compare computervision-recipes vs synthetic-dataset-object-detection and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
computervision-recipes synthetic-dataset-object-detection
1 1
9,115 20
- -
3.9 2.6
about 1 year ago about 2 years ago
Jupyter Notebook Jupyter Notebook
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.

computervision-recipes

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

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

synthetic-dataset-object-detection

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

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

What are some alternatives?

When comparing computervision-recipes and synthetic-dataset-object-detection you can also consider the following projects:

fastdup - fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

VIAME - Video and Image Analytics for Multiple Environments

TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!

smletsexchangeconnector - SMLets PowerShell based Exchange Connector for controlling Microsoft System Center Service Manager 2016+

sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.

opencv - Experimenting using Machine Vision OpenCV and Python to create software suitable for driving a Golf launch monitor similar to technology like SkyTrak, GC2 and GC Quad

MEDIUM_NoteBook - Repository containing notebooks of my posts on Medium

data-science-learning - Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)