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README.md
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license: creativeml-openrail-m
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language:
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---
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# Model Card for Model ID
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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license: creativeml-openrail-m
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language:
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- en
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base_model:
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- facebook/detr-resnet-50-panoptic
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---
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# Model Card for Model ID
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This is a Model using `ResNet-50` backbone and customized Multi-task Head and loss to make classification, boundary box prediction and segmentation (24.7M parameters).
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Note that I only use processor and `resnet-50` backbone of `resnet-50-panotic` model, not use transformers. All the model, task heads and loss are self-defined.
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Another model by fine-tuning can be found at
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This model use kaggle dataset [A Large Scale Fish Dataset](https://www.kaggle.com/datasets/crowww/a-large-scale-fish-dataset) as dataset for training.
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Tasks :
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- Classification
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- BBoxes prediction, and
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- Segmentation
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### Model Sources [optional]
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For source code : check [my github](https://github.com/FRIEDparrot/fish-segmentation)
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## Uses
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### Direct Use
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