Image Tagging with Language Model
Budget: $750 – $1,500 AUD
I'm seeking a skilled professional who's proficient in developing and training large language models for image tagging.
Project Requirements:
- Identify the best LLM model for image tagging accuracy and processing speed per record.
- Update the attached table by following the attached instructions (AI Image Tagging Instructions)
- Use your skills in large language modelling to update the attached table with attributes derived from property images.
- Evaluate and optimize model performance on image annotation tasks
- Implement the model in a production-ready environment to apply to 2,000,000 images
Deliverables:
- Trained model and evaluation results (image tagging accuracy)
- Tagged and annotated image dataset (attached table)
- Code implementation and documentation
- Report on model performance and optimization (processing speed per record)
- Calculate the time the LLM takes to process
- Calculate the number of LLM tokens to process
Language Model Expertise:
I require a professional who has a deep understanding of language models, and has experience in training large models specifically.
- Image Tagging: The primary objective is to develop a model that effectively tags property images with a list of attributes that will be supplied.
- Property Attribute Identification: The language model should be trained to accurately identify and tag specific attributes on property images.
- Strong background in NLP, Computer Vision, and machine learning
- Experience with large language models and their applications in image analysis
- Proficiency in Python and relevant libraries
- Excellent problem-solving skills and attention to detail
Ideal Skills and Experience:
- Proficiency in language modeling, particularly with large models (LLMs) like CLIP, DALL-E, or similar models
- Previous experience in image tagging and object recognition
- Familiarity with tagging property images and understanding of property attributes
- Strong data processing and analysis skills
- Excellent communication and problem-solving abilities.
- Programming languages like Python and relevant libraries (e.g. OpenCV, Pillow)
Project Requirements:
- Identify the best LLM model for image tagging accuracy and processing speed per record.
- Update the attached table by following the attached instructions (AI Image Tagging Instructions)
- Use your skills in large language modelling to update the attached table with attributes derived from property images.
- Evaluate and optimize model performance on image annotation tasks
- Implement the model in a production-ready environment to apply to 2,000,000 images
Deliverables:
- Trained model and evaluation results (image tagging accuracy)
- Tagged and annotated image dataset (attached table)
- Code implementation and documentation
- Report on model performance and optimization (processing speed per record)
- Calculate the time the LLM takes to process
- Calculate the number of LLM tokens to process
Language Model Expertise:
I require a professional who has a deep understanding of language models, and has experience in training large models specifically.
- Image Tagging: The primary objective is to develop a model that effectively tags property images with a list of attributes that will be supplied.
- Property Attribute Identification: The language model should be trained to accurately identify and tag specific attributes on property images.
- Strong background in NLP, Computer Vision, and machine learning
- Experience with large language models and their applications in image analysis
- Proficiency in Python and relevant libraries
- Excellent problem-solving skills and attention to detail
Ideal Skills and Experience:
- Proficiency in language modeling, particularly with large models (LLMs) like CLIP, DALL-E, or similar models
- Previous experience in image tagging and object recognition
- Familiarity with tagging property images and understanding of property attributes
- Strong data processing and analysis skills
- Excellent communication and problem-solving abilities.
- Programming languages like Python and relevant libraries (e.g. OpenCV, Pillow)