inscriptor VS synthetic-dataset-object-detection

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

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inscriptor synthetic-dataset-object-detection
1 1
3 20
- -
6.4 2.6
8 months ago over 2 years ago
Jupyter Notebook Jupyter Notebook
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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.

inscriptor

Posts with mentions or reviews of inscriptor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-15.

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.

What are some alternatives?

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

Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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

prismer_gradio_demo - The implementation of "Prismer: A Vision-Language Model with An Ensemble of Experts".

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

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

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

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

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.