treeverse/example-get-started-experiments
Get started DVC project
This project helps computer vision practitioners manage and reproduce experiments for image segmentation tasks. You input satellite images, and it outputs a model that can segment swimming pools, along with detailed reports on model performance. It's designed for data scientists and ML engineers working on computer vision problems.
No commits in the last 6 months.
Use this if you need to reliably track, version, and reproduce machine learning experiments for image segmentation, especially when working with large datasets like satellite imagery.
Not ideal if you are looking for a pre-trained, ready-to-use model for swimming pool segmentation without needing to manage the underlying experiment workflow or customize the training process.
Stars
65
Forks
87
Language
Python
License
—
Category
Last pushed
Jul 12, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/treeverse/example-get-started-experiments"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
treeverse/dvc
🦉 Data Versioning and ML Experiments
runpod/runpod-python
🐍 | Python library for RunPod API and serverless worker SDK.
microsoft/vscode-jupyter
VS Code Jupyter extension
4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing...
uber/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning...