jveitchmichaelis/deeplabel
A cross-platform desktop image annotation tool for machine learning
This desktop tool helps you quickly label objects in images for computer vision projects. You feed in your raw images, and it outputs organized image datasets with bounding box annotations that can be used to train machine learning models. It's designed for data scientists, researchers, and engineers who need to prepare large image datasets for object detection tasks.
213 stars. No commits in the last 6 months.
Use this if you need an efficient way to manually or semi-automatically draw bounding boxes around objects in images and export them in various machine learning formats.
Not ideal if you only need image classification, segmentation masks, or if you prefer cloud-based annotation platforms.
Stars
213
Forks
39
Language
C++
License
—
Category
Last pushed
Apr 07, 2022
Commits (30d)
0
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