sports VS synthetic-dataset-object-detection

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

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sports synthetic-dataset-object-detection
2 1
441 20
- -
5.9 2.6
5 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.

sports

Posts with mentions or reviews of sports. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-21.

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 sports and synthetic-dataset-object-detection you can also consider the following projects:

uav-detection - Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.

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

fasterrcnn-pytorch-training-pipeline - PyTorch Faster R-CNN Object Detection on Custom Dataset

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

MMM-MyScoreboard - Module for MagicMirror to display today's scores for your favourite teams across multiple sports.

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

supervision - We write your reusable computer vision tools. 💜

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

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.