Animal Tracking and Detection in Natural Environments Using Deep Learning
Do you need to detect and track animals in a video? Have conventional image processing techniques been insufficient for your needs due to difficult or changing video conditions? Deep-learning approaches have taken computer vision by storm and at loopbio we make them available to you, creating state of the art deep-learning based object detectors customized to your scientific needs.
Conventional image processing requires tedious hand tuning of parameters and strong visual differences between the animal and the background, usually resulting in poor solutions. In the meanwhile, deep-learning models learn how to locate the animals when provided with a small fraction of the videos annotated. Our solution empowers comfortable and efficient video annotation, includes in-house improvements to tackle problems like crowding and varying light conditions, and works well even on challenging recordings, like those obtained in natural environments.
Guided Creation of Custom Detectors
Loopy features a simple step-by-step wizard for creating your own object detectors. Without specialist training you can configure your own deep-learning model and start training it on your annotated data.
Not sure when you have annotated enough videos? Loopy includes sophisticated feedback for evaluating the performance of your custom detector on videos; both quantitative feedback such as the algorithm precision and loss, but also qualitative display of how well it detects the objects in real videos you have annotated. Loopy is careful to follow best-practices by not testing on video segments on which it was trained.
Use Your Custom Detector to Track in Videos
Once your model has been trained and you have decided that it's performance is sufficient for your needs, you can use it on your normal videos. Using your detector, Loopy can find all objects in your videos. These results can then be downloaded or analysed in loopy using our analysis and plotting tools.