Abstract: In the field of image recognition, the scale and diversity of datasets are crucial for model training. This study proposes a novel cross-validation dataset pruning method with data balancing ...

aDepartment of Radiodiagnosis, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India bDepartment of Clinical Hematology and Medical Oncology, Postgraduate Institute of ...

The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...

In recent years, the rapid development of machine vision based on artificial intelligence (AI) has gained increasing attention in agriculture (Abbasi et al., 2022; Maraveas, 2024). This becomes ...

Apple has released Pico-Banana-400K, a highly curated 400,000-image research dataset which, interestingly, was built using Google’s Gemini-2.5 models. Here are the details. Apple’s research team has ...

The validation module must be able to retrieve these cached text embeds If the current model requires image embeds (eg. wan 2.1 i2v or qwen-edit), we run into a unique issue where there is generally ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...