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Top 23 image-segmentation Open-Source Projects
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albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
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InfluxDB
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PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
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U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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.
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deepdetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
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coco-annotator
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
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Universal Data Tool
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
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awesome-robotics
A curated list of awesome links and software libraries that are useful for robots. (by ahundt)
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signature_extractor
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.
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APE
[CVPR 2024] Aligning and Prompting Everything All at Once for Universal Visual Perception (by shenyunhang)
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You can use albumentations if you are comfortable with using open source libraries https://github.com/albumentations-team/albumentations
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models
Project mention: I used the ChatGPT API to create a proof-of-concept AI driven video game. Using generative AI for the images and dialogue and GPT-3.5 for narrative and game control. More info in comments. | /r/ChatGPT | 2023-06-17I use a finetuned custom Stable Diffusion model in combination with a style embedding for the characters for image generation and U²-Net for background removal.
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models
Yeah, inference[1] is our open source package for running locally (either directly in Python or via a Docker container). It works with all the models on Universe, models you train yourself (assuming we support the architecture; we have a bunch of notebooks available[2]), or train in our platform, plus several more general foundation models[3] (for things like embeddings, zero-shot detection, question answering, OCR, etc).
We also have a hosted API[4] you can hit for most models we support (except some of the large vision models that are really GPU-heavy) if you prefer.
[1] https://github.com/roboflow/inference
[2] https://github.com/roboflow/notebooks
[3] https://inference.roboflow.com/foundation/about/
[4] https://docs.roboflow.com/deploy/hosted-api
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09
Project mention: Exploring Open-Source Alternatives to Landing AI for Robust MLOps | dev.to | 2023-12-13For those seeking a lightweight solution for setting up deep learning REST APIs across platforms without the complexity of Kubernetes, Deepdetect is worth considering.
Project mention: Exploring Open-Source Alternatives to Landing AI for Robust MLOps | dev.to | 2023-12-13For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.
It's active field of research. e.g. here https://github.com/amaljoseph/Signature-Verification_System_using_YOLOv5-and-CycleGAN or here https://github.com/ahmetozlu/signature_extractor
https://github.com/shenyunhang/APE (super new, idk usability on this one yet)
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
image-segmentation related posts
- Instance segmentation of small objects in grainy drone imagery
- Image-to-Caption Generator
- [P] EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation
- [P] EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation
- Roboflow Notebooks: 30+ tutorials on using SOTA models and vision techniques
- Notebooks: How to tutorials for computer vision models and techniques
- I used the ChatGPT API to create a proof-of-concept AI driven video game. Using generative AI for the images and dialogue and GPT-3.5 for narrative and game control. More info in comments.
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A note from our sponsor - InfluxDB
www.influxdata.com | 23 Apr 2024
Index
What are some of the best open-source image-segmentation projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | CVPR2024-Papers-with-Code | 15,923 |
| 2 | albumentations | 13,395 |
| 3 | segmentation_models.pytorch | 8,773 |
| 4 | PaddleSeg | 8,227 |
| 5 | U-2-Net | 8,098 |
| 6 | mmsegmentation | 7,380 |
| 7 | segmentation_models | 4,602 |
| 8 | notebooks | 4,134 |
| 9 | catalyst | 3,223 |
| 10 | deepdetect | 2,493 |
| 11 | coco-annotator | 2,008 |
| 12 | Universal Data Tool | 1,871 |
| 13 | ailia-models | 1,814 |
| 14 | pytorch-toolbelt | 1,479 |
| 15 | OneFormer | 1,334 |
| 16 | PixelLib | 1,013 |
| 17 | cleanvision | 919 |
| 18 | awesome-robotics | 891 |
| 19 | caer | 749 |
| 20 | Entity | 660 |
| 21 | cloth-segmentation | 480 |
| 22 | signature_extractor | 426 |
| 23 | APE | 409 |
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