| | --- |
| | license: unlicense |
| | language: |
| | - en |
| | library_name: keras |
| | tags: |
| | - captcha |
| | - keras |
| | - ocr |
| | - ai captcha solving |
| | --- |
| | # Model Card for Model ID |
| |
|
| | <!-- Provide a quick summary of what the model is/does. --> |
| |
|
| | This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). |
| |
|
| | ## Model Details |
| |
|
| | ### Model Description |
| |
|
| | <!-- Provide a longer summary of what this model is. --> |
| |
|
| |
|
| |
|
| | - **Developed by:** [Ashish Chaudhary aka lolcod] |
| | - **Funded by [optional]:** [More Information Needed] |
| | - **Shared by [optional]:** [More Information Needed] |
| | - **Model type:** [More Information Needed] |
| | - **Language(s) (NLP):** [More Information Needed] |
| | - **License:** [More Information Needed] |
| | - **Finetuned from model [optional]:** [More Information Needed] |
| |
|
| | ### Model Sources [optional] |
| |
|
| | <!-- Provide the basic links for the model. --> |
| |
|
| | - **Repository:** [https://github.com/lol-cod/solvingcaptchakeras] |
| | - **Paper [optional]:** [More Information Needed] |
| | - **Demo [optional]:** [More Information Needed] |
| |
|
| | Direct Use |
| | The model is designed for solving 4-lettered captchas with an 80% accuracy rate. It can be directly employed for captcha-solving tasks without the need for fine-tuning or integration into a larger ecosystem or application. |
| |
|
| | Downstream Use [optional] |
| | [More Information Needed] |
| |
|
| | Out-of-Scope Use |
| | The model is not intended for tasks beyond solving 4-lettered captchas. It may not perform well on captchas with a different format or on tasks unrelated to captcha-solving. |
| |
|
| | Bias, Risks, and Limitations |
| | The model's performance may vary based on the complexity and variability of captchas. It may not generalize well to captchas with different characteristics or lengths. Additionally, there is a risk of misclassification, leading to incorrect solutions. The model might be sensitive to changes in background, font styles, or other captcha variations. |
| |
|
| | Recommendations |
| | Users, both direct and downstream, should be aware of the model's limitations and potential biases. It is recommended to assess the performance on a diverse set of captchas to understand the model's capabilities and shortcomings. |
| |
|
| | How to Get Started with the Model |
| | To use the model, you can leverage the following code: |
| |
|
| | python |
| | Copy code |
| | # Sample code for using the captcha-solving model |
| | import keras |
| | from keras.models import load_model |
| | from captcha_solver import solve_captcha |
| | |
| | # Load the pre-trained model |
| | model = load_model('captcha_model.h5') |
| | |
| | # Provide the captcha image as input |
| | captcha_image = 'path/to/your/captcha.png' |
| | solution = solve_captcha(model, captcha_image) |
| |
|
| | # Print the solution |
| | print('Captcha Solution:', solution) |
| | [More Information Needed] |
| |
|
| | Training Details |
| | Training Data |
| | The model was trained on a dataset of 4-lettered captchas. For more detailed information about the training data, refer to the accompanying Dataset Card. |
| |
|
| | [More Information Needed] |
| |
|
| | Training Procedure |
| | Preprocessing [optional] |
| | [More Information Needed] |
| |
|
| | Training Hyperparameters |
| | Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
| | [More Information Needed] |
| |
|
| | Speeds, Sizes, Times [optional] |
| | [More Information Needed] |
| |
|
| | Evaluation |
| | [More Information Needed] |
| |
|
| | <!-- This section describes the evaluation protocols and provides the results. --> |
| |
|
| | ### Testing Data, Factors & Metrics |
| |
|
| | #### Testing Data |
| |
|
| | <!-- This should link to a Dataset Card if possible. --> |
| |
|
| | [More Information Needed] |
| |
|
| | #### Factors |
| |
|
| | <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
| |
|
| | [More Information Needed] |
| |
|
| | #### Metrics |
| |
|
| | <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
| |
|
| | [More Information Needed] |
| |
|
| | ### Results |
| |
|
| | [More Information Needed] |
| |
|
| | #### Summary |
| |
|
| |
|
| |
|
| | ## Model Examination [optional] |
| |
|
| | <!-- Relevant interpretability work for the model goes here --> |
| |
|
| | [More Information Needed] |
| |
|
| | ## Environmental Impact |
| |
|
| | <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
| |
|
| | Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
| |
|
| | - **Hardware Type:** [More Information Needed] |
| | - **Hours used:** [More Information Needed] |
| | - **Cloud Provider:** [More Information Needed] |
| | - **Compute Region:** [More Information Needed] |
| | - **Carbon Emitted:** [More Information Needed] |
| |
|
| | ## Technical Specifications [optional] |
| |
|
| | ### Model Architecture and Objective |
| |
|
| | [More Information Needed] |
| |
|
| | ### Compute Infrastructure |
| |
|
| | [More Information Needed] |
| |
|
| | #### Hardware |
| |
|
| | [More Information Needed] |
| |
|
| | #### Software |
| |
|
| | [More Information Needed] |
| |
|
| | ## Citation [optional] |
| |
|
| | <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
| |
|
| | **BibTeX:** |
| |
|
| | [More Information Needed] |
| |
|
| | **APA:** |
| |
|
| | [More Information Needed] |
| |
|
| | ## Glossary [optional] |
| |
|
| | <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
| |
|
| | [More Information Needed] |
| |
|
| | ## More Information [optional] |
| |
|
| | [More Information Needed] |
| |
|
| | ## Model Card Authors [optional] |
| |
|
| | [More Information Needed] |
| |
|
| | ## Model Card Contact |
| |
|
| | [More Information Needed] |
| |
|
| |
|
| |
|
