Computer Vision and Machine Learning Datasets

Computer Vision and Machine Learning requires standardised datasets for evaluation, comparison and learning. Datasets associated with our projects are linked below.

  • Larvae Collision Dataset 2 Animals (LCD2A)

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    The collision database (called Larvae Collision Dataset 2 Animals; short: LCD2A) contains 1352 image sequences with approximately 159300 individual images resulting from an interaction analysis (collisions) experiment of Drosophila larvae. The images were acquired by utilizing the FIM2c setup. For further information please refer to

    • The "readme.txt" file included in the archive
    • Risse B., Otto N., Berh D., Jiang X., Kiel M., Klambt C. 2017. "FIM2c: Multicolor, Multipurpose Imaging System to Manipulate and Analyze Animal Behavior." IEEE Transactions on Biomedical Engineering 64, No. 3:610-620
    • Otto N, Risse B, Berh D, Bittern J, Jiang X, Klämbt C. 2016. "Interactions among Drosophila larvae before and during collision." Scientific Reports 11, No. 6: 31564
  • Larvae Collision Dataset 2 to 3 (LCD2t3)

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    This dataset (called "Larvae Collision Dataset 2 to 3" or LCD2t3) represents a refined Version of the original collision database LCD2A resulting from an interaction analysis (collisions) experiment of Drosophila larvae. The images were acquired by utilizing the FIM2c setup. For further information please refer to

    • The "readme.txt" file included in the archive
    • Michels T, Berh D, Jiang X. 2018. "An RJMCMC-based method for tracking and resolving collisions of Drosophila Larvae." IEEE/ACM Transactions on Computational Biology and Bioinformatics 2018.
  • Larvae Heartbeat Dataset

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    The heartbeat database contains 39 image sequences with approximately 52700 individual images showing an (irregular) heartbeat of Drosophila melanogaster pupae. The images were acquired by utilizing the FIM setup. For further information please refer to

    • The "readme.txt" file included in the archive
    • Berh D, Scherzinger A, Otto N, Jiang X, Klämbt C, Risse B. 2018. "Automatic non-invasive heartbeat quantification of Drosophila pupae." Computers in Biology and Medicine 93: 189-199