synthetic-dataset-object-detection VS TrainYourOwnYOLO

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

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synthetic-dataset-object-detection TrainYourOwnYOLO
1 1
20 635
- -
2.6 0.0
over 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
- GNU General Public License v3.0 or later
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.

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.

TrainYourOwnYOLO

Posts with mentions or reviews of TrainYourOwnYOLO. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-18.

What are some alternatives?

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

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data

colabcat - :smiley_cat: Running Hashcat on Google Colab with session backup and restore.

auto_annotate - Labeling is boring. Use this tool to speed up your next object detection project!

super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

sports - Cool experiments at the intersection of Computer Vision and Sports ⚽🏃

tf2patcher - A patcher for TF2 that allows you to apply full-colored decals.

notebooks - 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.

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

CleanTF2plus - Clean TF2's sequel

YOLOv3-Cloud-Based-Fire-Detection - Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.