- [Scalar Quantization and Product Quantization - Zilliz blog](https://zilliz.com/learn/scalar-quantization-and-product-quantization): A hands-on dive into scalar quantization (integer quantization) and product quantization with Python.
# More Resources
- [Scalar Quantization and Product Quantization - Zilliz blog](https://zilliz.com/learn/scalar-quantization-and-product-quantization): A hands-on dive into scalar quantization (integer quantization) and product quantization with Python.
- [Combine AI Models for Image Search using ONNX and Milvus - Zilliz blog](https://zilliz.com/blog/combine-ai-models-for-image-search-using-onnx-and-milvus): Use ONNX to process multiple models of CV (computer vision), and combine multiple models with Milvus for similar vector retrieval to get similar images.
- [Combine AI Models for Image Search using ONNX and Milvus - Zilliz blog](https://zilliz.com/blog/combine-ai-models-for-image-search-using-onnx-and-milvus): Use ONNX to process multiple models of CV (computer vision), and combine multiple models with Milvus for similar vector retrieval to get similar images.
- [Demystifying Color Histograms: A Guide to Image Processing and Analysis - Zilliz blog](https://zilliz.com/learn/demystifying-color-histograms): Mastering color histograms is indispensable for anyone involved in image processing and analysis. By understanding the nuances of color distributions and leveraging advanced techniques, practitioners can unlock the full potential of color histograms in various imaging projects and research endeavors.
- [Demystifying Color Histograms: A Guide to Image Processing and Analysis - Zilliz blog](https://zilliz.com/learn/demystifying-color-histograms): Mastering color histograms is indispensable for anyone involved in image processing and analysis. By understanding the nuances of color distributions and leveraging advanced techniques, practitioners can unlock the full potential of color histograms in various imaging projects and research endeavors.
- [Using Vector Search to Better Understand Computer Vision Data - Zilliz blog](https://zilliz.com/blog/use-vector-search-to-better-understand-computer-vision-data): How Vector Search improves your understanding of Computer Vision Data
- [Using Vector Search to Better Understand Computer Vision Data - Zilliz blog](https://zilliz.com/blog/use-vector-search-to-better-understand-computer-vision-data): How Vector Search improves your understanding of Computer Vision Data
@ -61,4 +63,3 @@ The `towhee/transform-image` Operator is used for image transformation and is an
- [Understanding ImageNet: A Key Resource for Computer Vision and AI Research](https://zilliz.com/glossary/imagenet): The large-scale image database with over 14 million annotated images. Learn how this dataset supports advancements in computer vision.
- [Understanding ImageNet: A Key Resource for Computer Vision and AI Research](https://zilliz.com/glossary/imagenet): The large-scale image database with over 14 million annotated images. Learn how this dataset supports advancements in computer vision.
- [Image Embeddings for Enhanced Image Search - Zilliz blog](https://zilliz.com/learn/image-embeddings-for-enhanced-image-search): Image Embeddings are the core of modern computer vision algorithms. Understand their implementation and use cases and explore different image embedding models.
- [Image Embeddings for Enhanced Image Search - Zilliz blog](https://zilliz.com/learn/image-embeddings-for-enhanced-image-search): Image Embeddings are the core of modern computer vision algorithms. Understand their implementation and use cases and explore different image embedding models.
- [Batch vs Layer Normalization - Zilliz blog](https://zilliz.com/learn/layer-vs-batch-normalization-unlocking-efficiency-in-neural-networks): A guide to equip developers with the knowledge to unlock efficiency and enhance model performance.
- [Batch vs Layer Normalization - Zilliz blog](https://zilliz.com/learn/layer-vs-batch-normalization-unlocking-efficiency-in-neural-networks): A guide to equip developers with the knowledge to unlock efficiency and enhance model performance.
