Project Phoenix Domain

AI_WQ Tools

18 Tools for Computer Vision Exploration

Tool Categories

12
Project Tools
4
Cross-Project
2
Utilities

Project Tools (12)

Each project has 2 tools: info loader and resource lister.

Tool Description Variation
load_proj1_info Get Project 1 (Image Classification) information V1+
list_proj1_notebooks List available notebooks for image classification V1+
load_proj2_info Get Project 2 (Transfer Learning) information V1+
list_proj2_models List available pre-trained models V1+
load_proj3_info Get Project 3 (Object Detection) information V2+
list_proj3_notebooks List YOLO object detection notebooks V2+
load_proj4_info Get Project 4 (Face Recognition) information V2+
list_proj4_modules List face recognition Python modules V2+
load_proj5_info Get Project 5 (GANs) information V3
list_proj5_models List GAN models (generator/discriminator) V3
load_proj6_info Get Project 6 (Diffusion Models) information V3
list_proj6_notebooks List diffusion model notebooks V3

Cross-Project Tools (4)

Tools for comparing and discovering across projects.

Tool Description Parameters
compare_projects Compare two AI projects proj1, proj2 (required)
find_similar_projects Find projects by technique or data type data_type, technique
list_all_models List all pre-trained models across projects None
suggest_technique Suggest best technique for a CV problem problem_type (required)

Utility Tools (2)

Tool Description Parameters
show_capabilities Show all available tools and capabilities category (optional)
get_project_info Get metadata about a project or all projects project_num (1-6)

Usage Examples

Project Exploration

# Get project info result = tools.get_tool('load_proj4_info')({}) # List available resources modules = tools.get_tool('list_proj4_modules')({})

Cross-Project Analysis

# Compare two projects comparison = tools.get_tool('compare_projects')({ 'proj1': 1, 'proj2': 3 }) # Find projects by technique matches = tools.get_tool('find_similar_projects')({ 'technique': 'CNN' })

Model Discovery

# List all available models models = tools.get_tool('list_all_models')({}) # Returns: Project 2 (4 transfer learning models), Project 5 (3 GAN models) # Get technique suggestions suggestion = tools.get_tool('suggest_technique')({ 'problem_type': 'detection' })