Abstract: In certain specialized domain scenarios, the collection of image data is rendered time-consuming and costly due to a variety of unique issues, making the assembly of extensive image datasets ...
Develop an AI-based image classification system using CNN and transfer learning. The project includes data preprocessing, model training, fine-tuning, evaluation with precision, recall, and F1-score, ...
β”œβ”€β”€ πŸ“ govt_data/ # Extracted data directory β”‚ β”œβ”€β”€ πŸ“„ complete_breeds_data.json β”‚ β”œβ”€β”€ πŸ“„ extraction_summary.json β”‚ β”œβ”€β”€ πŸ“„ master_breeds_dataset.csv β”‚ β”œβ”€β”€ πŸ“„ scraper.log β”‚ β”œβ”€β”€ πŸ“ breed_data ...
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...
What if the skills you choose to learn today could determine your career trajectory in 2025? The field of machine learning is evolving at a breakneck pace, and with it comes a growing demand for ...
Do you like Lionel, Marx, MTH, K-Line, Menards, and other 3-rail O gauge trains? Do you like big trains but have a small budget? This is the channel for you! Novices are welcome here! I received my ...
Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.