Abstract: The effectiveness and robustness of medical image segmentation algorithms inextricably depends on the quality and quantity of training data. Insufficient data continually restricts model ...
Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Abstract: Image quality assessment (IQA) plays a fundamental role in evaluating image processing. Currently, JPEG AIC specifies the IQA methods, dividing them into three levels: AIC-1, 2, and 3. AIC-1 ...
Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...
Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...
The Git-10M dataset is a global-scale dataset, consisting of 10.5 million image-text pairs with geographical locations and resolution information. You can skip the following steps if you have higher ...
A comprehensive dataset of tomato images captured in a plant factory environment, designed for object detection and classification tasks. The dataset features micro tomato variety images with ...
OpenAI announced an update for ChatGPT Images that it says drastically improves both the generation speed and instruction-following capability of its image generator. A blog post from the company ...
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