NSFW Content Detection TensorFlow Lite Model
Budget: ₹1,500 – ₹12,500 INR
I'm seeking an expert in machine learning and TensorFlow Lite who can help me create a model for detecting NSFW content. This project involves multiple stages, starting from dataset curation to providing a deployment-ready inference script.
Key stages of the project:
- Dataset Preparation: I need assistance in curating and preprocessing a suitable dataset containing both NSFW and SFW images. The dataset should be sourced from publicly available datasets.
- Model Training: Fine-tune a pre-trained lightweight architecture for high accuracy. The model should be able to detect explicit NSFW content and suggestive NSFW content.
- Optimization: Implement quantization techniques to minimize model size and improve latency without compromising accuracy.
- Testing and Validation: The model should be tested to ensure it meets the required accuracy and latency benchmarks on real-world data.
- Delivery and Integration Support: Provide the .tflite model and necessary scripts for deployment.
Ideal candidates for this project should have:
- Extensive experience with TensorFlow and TensorFlow Lite.
- Proficiency in machine learning and model training.
- Skills in data curation and preprocessing.
- Experience in model optimization and quantization.
- Ability to deliver a deployment-ready inference script.
Key stages of the project:
- Dataset Preparation: I need assistance in curating and preprocessing a suitable dataset containing both NSFW and SFW images. The dataset should be sourced from publicly available datasets.
- Model Training: Fine-tune a pre-trained lightweight architecture for high accuracy. The model should be able to detect explicit NSFW content and suggestive NSFW content.
- Optimization: Implement quantization techniques to minimize model size and improve latency without compromising accuracy.
- Testing and Validation: The model should be tested to ensure it meets the required accuracy and latency benchmarks on real-world data.
- Delivery and Integration Support: Provide the .tflite model and necessary scripts for deployment.
Ideal candidates for this project should have:
- Extensive experience with TensorFlow and TensorFlow Lite.
- Proficiency in machine learning and model training.
- Skills in data curation and preprocessing.
- Experience in model optimization and quantization.
- Ability to deliver a deployment-ready inference script.
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