BrRacemeCounter: Mask R-CNN for Raceme Instance Segmentation
This is an adapted implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet50 or ResNet101 backbone. This project detects and count...
| Main Authors: | , , |
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| Format: | Software |
| Language: | Inglés |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/168316 |
| Summary: | This is an adapted implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet50 or ResNet101 backbone.
This project detects and count the total amount of racemes in tropical forages (Urochloa spp.) throught an web or a desktop based application |
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