Question: Is there a Python library that can help me with image recognition and spam detection tasks, and is easy to learn and use?

If you're looking for a Python library to tackle image recognition and spam detection, scikit-learn is a great option. It's a broad, open-source library with a lot of machine learning abilities, including classification and regression. It's got algorithms for gradient boosting, nearest neighbors and logistic regression, so it's good for spam filtering and image classification. It's well maintained and has plenty of documentation and tutorials, so it's a good starting point for learning and using.

Another good option is Imagga, which offers a range of image recognition abilities, including image tagging, visual search and facial recognition. It also offers content moderation and customizable machine learning technology. Imagga offers several integration options and has developer documentation and a dedicated support team, so it can be used in a variety of settings like media and e-commerce.

If you want to build your own image recognition models, Ximilar offers AI-powered image tagging, description and search abilities. You can also embed your own models into your own system and it supports several programming languages. That makes it a good option for e-commerce and fashion, where you might want to automate some image processing tasks.

Last, Roboflow offers a single platform for training and deploying computer vision models. It comes with automated annotation tools, pre-trained models and powerful deployment options. It integrates with frameworks like TensorFlow and PyTorch, and can be deployed to cloud and edge computing environments, so it's a good option for building and managing computer vision projects.