image captioning using vgg16
Budget: $30 – $250 USD
Project Description:
I am looking for a skilled developer who can fix an image captioning system using the VGG16 model. The system should be able to generate accurate and descriptive captions for images using a pretrained model or enhancing imagenet dataset.
Ideal Skills and Experience:
- Experience with deep learning models, specifically VGG16
- Proficiency in natural language processing and computer vision
- Strong understanding of image recognition and captioning algorithms
- Ability to work with large datasets and handle image processing tasks efficiently
- Familiarity with Python and deep learning frameworks such as TensorFlow or PyTorch
Image Requirements:
- The system will be used to caption logos, shapes, and objects. It should be able to accurately identify and describe these elements in the images.
Project Scope:
- The project requires captioning more than 100 images. The developer should be able to handle large volumes of data and deliver accurate results within the specified timeframe.
I am looking for a skilled developer who can fix an image captioning system using the VGG16 model. The system should be able to generate accurate and descriptive captions for images using a pretrained model or enhancing imagenet dataset.
Ideal Skills and Experience:
- Experience with deep learning models, specifically VGG16
- Proficiency in natural language processing and computer vision
- Strong understanding of image recognition and captioning algorithms
- Ability to work with large datasets and handle image processing tasks efficiently
- Familiarity with Python and deep learning frameworks such as TensorFlow or PyTorch
Image Requirements:
- The system will be used to caption logos, shapes, and objects. It should be able to accurately identify and describe these elements in the images.
Project Scope:
- The project requires captioning more than 100 images. The developer should be able to handle large volumes of data and deliver accurate results within the specified timeframe.