base_model: microsoft/Florence-2-base-ft
library_name: peft
widget:
- src: >-
https://source.roboflow.com/lfoemouH7BfQ20xsrtlOyKT2ANP2/KVoWCn5BOS05traUI56l/original.jpg
example_title: Data set image 0921
Model Card for Model ID
A fine tuning of florence 2 using the robocelesc dataset from roboflow for identifying components on a utility pole.
Model Details
Model Description
- License: MIT
- Finetuned from model [optional]: microsoft/Florence-2-base-ft
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How to Get Started with the Model
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Training Details
Training Data
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Training Procedure
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Training Hyperparameters
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Evaluation
Testing Data, Factors & Metrics
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Results
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Technical Specifications [optional]
Model Architecture and Objective
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Software
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Citation [optional]
@misc{ robocelesc-zrn9m_dataset, title = { robocelesc Dataset }, type = { Open Source Dataset }, author = { testerobocelesc }, howpublished = { \url{ https://universe.roboflow.com/testerobocelesc/robocelesc-zrn9m } }, url = { https://universe.roboflow.com/testerobocelesc/robocelesc-zrn9m }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2024 }, month = { jun }, note = { visited on 2024-08-08 }, }
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Framework versions
- PEFT 0.12.0