ReefVision
ReefVision Insight is Streamlit app designed to revolutionize marine exploration. The first function employs advanced image enhancement techniques, making previously blurry underwater images clear and suitable for in-depth marine studies and oceanic research. The second function involves predicting the health condition of coral reefs. This is achieved through a two-step process - a coral classifier determines whether a coral is healthy or not, and the GPT-4 Vision model then provides a detailed output based on the classifier's results and the original image. ReefVision is a comprehensive tool for researchers and enthusiasts passionate about understanding and preserving marine ecosystems.
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"Interesting! I love the concept of using computer vision to protect coral reefs. Fantastic application. Both image enhancement and coral reef health predictor works perfect. Great work and couldn't have done any better. "
Muhammad Inaamullah
ML Engineer
"Your Coral Reef Classification & Analysis project effectively harnesses the strengths of Resnet and ChatGPT-4 Vision, indicating a strong understanding of machine learning applications. The dual-model approach promises enhanced accuracy and detailed analysis, a significant contribution to marine biology research. I would encourage further exploration into the scalability of your system and its real-world application potential. Excellent work on aiming for a comprehensive ecological impact through technology."
Sanchay Thalnerkar
Machine Learning Engineer
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