The TensorFlow Object Detection API is an open-source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. It provides a collection of pre-trained models, including MobileNet and COCO-SSD, which can be used out-of-the-box or fine-tuned for specific object detection tasks. The API is designed to be modular and extensible, allowing researchers and developers to easily experiment with different model architectures, training techniques, and evaluation metrics. It supports various object detection algorithms, such as Faster R-CNN, SSD, and R-FCN, and provides tools for data preprocessing, model evaluation, and deployment.
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Apify is a platform that helps you develop and deploy web scraping tools easily. It's a sort of nocode webscraping toolbox.
The platform offers many ways to scrape content for generative AI models like ChatGPT and LLMs. Feed your Large Language Model prohject with web data using integrations like LangChain, LlamaIndex, Pinecone, and Apify Actors.
Apify collects and aggregates the immense amount of data from across the web and packages it in an easy-to-access format, enabling users to train their AI models more effectively.
Apify's datasets transform AI tools into more efficient, effective problem solvers.
Apify takes the grunt work out of scaling your training data, making it possible to rapidly fetch resource-intensive information and use it to maximize your AI tool's output.
By incorporating real-time information from external sources, Apify's AI models can deliver accurate responses and actionable insights.
Custom web scrapers allow you to extract data from any website and build AI tools that are customized for your specific needs.
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