retina-net

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MIC-DKFZ /medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

deep-neural-networks deep-learning detection medical-imaging segmentation object-detection medical-image-computing semantic-segmentation 3d-models medical-image-processing mask-rcnn u-net medical-image-analysis pytorch-cnn retina-net 3d-object-detection pytorch-implementation pytorch-deeplearning retina-unet 3d-mask-rcnn

UpdatedJun 17, 2024
Python

lacmus-foundation /lacmus

Star183

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

python machine-learning computer-vision forest cv keras ml dataset neural-networks object-detection hacktoberfest ods pascal-voc retina-net hacktoberfest2020 lacmus liza-alert

UpdatedOct 18, 2022
Jupyter Notebook

minerva-ml /open-solution-googleai-object-detection

Star46

Open solution to the Google AI Object Detection Challenge 🍁

challenge data-science machine-learning deep-neural-networks deep-learning pipeline reproducible-research pipeline-framework object-detection reproducibility reproducible-experiments mask-rcnn detection-network retina-net google-ai-challange

UpdatedJun 22, 2022
Python

Ankit-Kumar-Saini /Coursera_TensorFlow_Advanced_Techniques_Specialization

Star10

Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.