Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations using a pre-trained model
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Updated
Apr 12, 2020 - Python
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations using a pre-trained model
wai.annotations module for managing YOLO datasets.
A tool for visualizing bounding boxes and adding labels to a given image.
A tool that will enable labelling of images for a dataset to be used for classification algorithm development.
Cross-Platform Image Annotation Tool. Useful for Images and Image Sequences targeted for training Object Detector DNNs
Some data preprocessing scripts to generate label mask from Labelbox and ImageJ annotations to use them to train semantic segmentation deep learning models
Synthetic dataset generation with Stable Diffusion and generating of segmentation mask using Grounding DINO and Segment Anythin Model
🤘 LabelImg is a graphical image annotation tool and label object bounding boxes in images
Image keyword tool
Convenient for individuals to annotate images and check YOLO format labels
Image augmentation stream processors for the wai.annotations conversion library.
ML data processing (For Computer Vision)
Official Pytorch Implementation of: "Improving Loss Function for Deep CNN-based Automatic Image Annotation"
A Tensorflow Implementation of Multi-Modal-Multi-Scale Image Annotation (Not Author Code)
Set of tools for cropping and annotating images locally
State-of-the-art Floor Plan Recognition System. This innovative software utilizes advanced algorithms to accurately interpret and analyze architectural floor plans.
Kivy app to facilitate the creation of image masks, labels, Ground-truth... to train Deep learning neural networks in the tasks of Classification, Object Detection, Semantic Segmentation and Instance Segmentation.
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