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ASL Alphabet Detection and deploy model #336

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pratishthaa opened this issue Mar 15, 2022 · 6 comments
Open

ASL Alphabet Detection and deploy model #336

pratishthaa opened this issue Mar 15, 2022 · 6 comments
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@pratishthaa
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You can refer this dataset:

https://www.kaggle.com/grassknoted/asl-alphabet

@pratishthaa pratishthaa added 🤩 Up for Grab This issue will is not assigned ! Grab It ! gssoc-ext gssoc level3 level3 labels Mar 15, 2022
@urvisinghal
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Can you please assign this to me

@Avishek8136
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Can i have this issue assigned.

@Jaya-Prakash-17
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Hello,

I'm eager to contribute to the ASL alphabet detection project using deep learning. Here's my proposed workflow:

Data Exploration: Review existing ASL datasets to understand their quality and diversity. If necessary, augment data or collect additional samples to ensure robust training.

Model Selection: Experiment with CNN architectures like ResNet or EfficientNet, optimizing for both accuracy and computational efficiency.

Training Strategy: Implement techniques like transfer learning and data augmentation to train the model on the ASL dataset effectively.

Evaluation Metrics: Define evaluation metrics such as accuracy, precision, and recall to measure model performance accurately.

Hyperparameter Tuning: Fine-tune model hyperparameters using techniques like grid search or random search to optimize performance.

Documentation: Maintain clear and concise documentation throughout the process, ensuring easy replication and future enhancements.

Looking forward to diving in and collaborating with you!

Best regards,
Jaya Prakash Sangem

@Sanj-bot
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can i have this?

@vishalmaurya850
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Assign this issue to me

@JahnaviDhanaSri
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I’m interested in contributing to the ASL Alphabet Detection and Deployment Model project. This is an exciting opportunity to leverage computer vision techniques to enhance communication accessibility.

Here’s my proposed plan:

Data Collection: Utilize existing datasets or create a dataset of ASL hand signs for training the model.
Model Development: Implement a machine learning model for ASL alphabet detection using frameworks like TensorFlow or PyTorch.
Deployment: Prepare the model for deployment, ensuring it can be easily integrated into applications or services.
Documentation: Provide clear documentation on how to use the model, including setup instructions and usage examples.
Could you please assign this issue to me

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Labels
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