Unlock the potential of generative AI with the Prompt2Image dataset, featuring prompts paired with images generated by state-of-the-art model.

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Perfect for agritech developers and AI researchers, this dataset is geared toward improving jute crop management and disease control.

Dive into the YouTube Thumbnail Dataset, featuring top-performing video thumbnails from 90+ channels. Analyze trends, engagement metrics.

Additionally, it features depth maps generated using Agisoft Metashape for improved accuracy in spatial analysis.

This meticulously curated dataset is essential for developing and validating cutting-edge AI models focused on wildlife recognition.

In conclusion, the Citrus Disease Classification Dataset marks a big leap in combating citrus diseases. With its wide-ranging data and use in machine learning and deep learning, this dataset can change how we manage diseases in the citrus industry.

Where did the videos come from? Mostly from YouTube, but I also made some with my friends.

Explore the JPEG Happywhale 128×128 dataset, featuring reduced resolution images perfect for rapid testing and debugging in the Happy Whale competition.

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