image-quality-assessment
cnn-in-welding
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image-quality-assessment | cnn-in-welding | |
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2 | 1 | |
2,000 | 42 | |
1.9% | - | |
0.0 | 1.8 | |
4 months ago | over 3 years ago | |
Python | Python | |
Apache License 2.0 | - |
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image-quality-assessment
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And so it begins: AI(Midjourney) wins art competition without anyone realising.
It's an ongoing research area, but here's a Google model that assigns images ratings based on how good they look. It's pretty good, and it's from 2019 so not even close to state of the art. Paired with Stable Diffusion, it could indeed curate itself. I might have to try that actually.
- Extracting Images from Video
cnn-in-welding
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Detecting Welding Defects in Steel Plates using Computer Vision Algorithms
The dataset contains two directories. The raw images are stored in images directory and the segmented images are stored in labels directory.
What are some alternatives?
student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
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GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
DarkMark - Marking up images for use with Darknet.
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
imagededup - 😎 Finding duplicate images made easy!
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
easytorch - EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.