✨BioBench: A Blueprint to Move Beyond ImageNet for Scientific ML Benchmarks
📝 Summary:
ImageNet accuracy poorly predicts performance on scientific imagery. BioBench is a new ecology vision benchmark unifying diverse tasks, kingdoms, and modalities with 3.1M images, offering a better evaluation for scientific ML.
🔹 Publication Date: Published on Nov 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.16315
• PDF: https://arxiv.org/pdf/2511.16315
• Project Page: https://samuelstevens.me/biobench
• Github: https://github.com/samuelstevens/biobench
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#BioBench #MachineLearning #ComputerVision #ScientificML #Ecology
📝 Summary:
ImageNet accuracy poorly predicts performance on scientific imagery. BioBench is a new ecology vision benchmark unifying diverse tasks, kingdoms, and modalities with 3.1M images, offering a better evaluation for scientific ML.
🔹 Publication Date: Published on Nov 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.16315
• PDF: https://arxiv.org/pdf/2511.16315
• Project Page: https://samuelstevens.me/biobench
• Github: https://github.com/samuelstevens/biobench
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#BioBench #MachineLearning #ComputerVision #ScientificML #Ecology
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