#
annotate-images
Here are 11 public repositories matching this topic...
machine-learning
computer-vision
deep-learning
image-annotation
label
detection
coco
datasets
image-segmentation
image-labeling
annotate-images
coco-format
coco-annotator
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Updated
Oct 12, 2021 - Vue
A cross-platform desktop image annotation tool for machine learning
deep-learning
image-annotation
annotation
object-detection
labeling
bounding-boxes
kitti
annotate-images
object-detection-label
image-labeling-tool
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Updated
Oct 3, 2021 - C++
Tools for workup of the HAM10000 dataset
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Updated
Mar 14, 2021 - Python
A tool to quickly Search and Annotate images online from multiple sources. Built with ❤️ using React
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Updated
Sep 15, 2021 - JavaScript
Automatic Annotation tool for labelling images in bulk with their corresponding bounding box annotations.
python
machine-learning
computer-vision
deep-learning
image-annotation
keras
annotation-tool
objectdetection
transferlearning
annotate-images
customobjectdetection
xml-annotation
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Updated
Feb 16, 2021 - Python
A desktop application that can be used to annotate images for semantic-segmentation purposes
machine-learning
deep-learning
desktop-application
semantic-segmentation
annotation-tool
annotate-images
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Updated
Aug 11, 2021 - C++
Annotate images in .JPG- or .PNG-format with markers and polygons in connection with freely composable input form fields for metadata and subsequently export the annotation data as GeoJSON, as data for cropping with Pillow image library, or download the cut out polygons and their corresponding metadata as a ZIP file.
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Updated
Oct 25, 2019 - JavaScript
Annotator is a tool to annotate images written in C#.
image-annotation
annotations
image-manipulation
image-classification
rectangle
annotator
bounding-boxes
annotation-tool
annotate-images
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Updated
Oct 25, 2017 - C#
Simple web app to annotate images by hand - built with Vue.js
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Updated
Feb 27, 2017 - JavaScript
Automate approach to label images for object detection using TensorFlow
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Updated
Jul 25, 2021 - Python
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Add a way to change the sample id output in the annotation process to a specific number (see picture).
Reason: I want to annotate large text and the app don't like it when the documents to annotate are too large, so I spitted in a sentence the document but I would like to be able to