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--- |
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language: en |
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license: mit |
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tags: |
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- instance-segmentation |
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- detectron2 |
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- pytorch |
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datasets: |
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- custom-dataset |
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metrics: |
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- mean-average-precision |
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pipeline_tag: object-detection |
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labels: |
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- background |
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- germinated |
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- non-germinated |
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--- |
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# Instance Segmentation Model |
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## Description |
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This model performs instance segmentation using Mask R-CNN. It was trained on a custom dataset containing [X] images with [Y] classes. |
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## Training Data |
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- Dataset: [Germination Images] |
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- Number of Images: [22] |
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- Number of Classes: [2] |
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## Usage |
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Load the model using: |
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```python |
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from transformers import AutoModelForObjectDetection, AutoFeatureExtractor |
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model = AutoModelForObjectDetection.from_pretrained("Dreamy0/GermiNet-instance-segmentation") |
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feature_extractor = AutoFeatureExtractor.from_pretrained("Dreamy0/GermiNet-instance-segmentation") |
