computervision-recipes
fastdup
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| computervision-recipes | fastdup | |
|---|---|---|
| 1 | 18 | |
| 9,115 | 1,395 | |
| - | 3.1% | |
| 3.9 | 9.4 | |
| about 1 year ago | 13 days ago | |
| Jupyter Notebook | Python | |
| MIT License | GNU General Public License v3.0 or later |
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computervision-recipes
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fastdup
- Visualize your dataset using DINOv2 embedding
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Computer Vision pre-trained model for finding how similar two photos of a room are
Another option could be fastdup (https://github.com/visual-layer/fastdup) which is probably most helpful for analysis type objectives.
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How can we match images in our database?
There is this fastdup framework which supposedly allows you to find duplicates and similar images. i haven't used it though
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Measure Images Similarity
I came across fastdup recently https://github.com/visual-layer/fastdup
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[R] We found nearly half a billion duplicated images on LAION-2B-en.
Thanks for sharing! you can try fastdup. It's free and scales. It's also very easy to use. https://github.com/visual-layer/fastdup Would love to get your feedback. PM or join our Slack channel. Will be happy to talk more.
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Laion-5B: A New Era of Open Large-Scale Multi-Modal Datasets
Creators of the data quality tool for computer vision, fastdup, continue to improve on their free release https://github.com/visual-layer/fastdup
Here's a short video of some recent results for LAION 400M https://www.youtube.com/watch?v=dlRCm29Upu4
- Does anyone know of any AI that can detect similarities between two images within database?
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[D] What would be the best way to match an image to a database of existing images?
You can look into Milvus or fastdup. I am using fastdup and its really good. Have created a pipeline using Milvus too. If you need that DM me. https://github.com/milvus-io/milvus https://github.com/visualdatabase/fastdup
What are some alternatives?
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
VIAME - Video and Image Analytics for Multiple Environments
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
smletsexchangeconnector - SMLets PowerShell based Exchange Connector for controlling Microsoft System Center Service Manager 2016+
sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.
CVPR2024-Papers-with-Code - CVPR 2024 论文和开源项目合集
dhash - Python library to calculate the difference hash (perceptual hash) for a given image, useful for detecting duplicates
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
opencv - Experimenting using Machine Vision OpenCV and Python to create software suitable for driving a Golf launch monitor similar to technology like SkyTrak, GC2 and GC Quad