skills.rest
agentmorris
agentmorrisCOMMUNITY
Explore all skills by this author →
Website𝕏@doctorofrockGitHub

animal-category-mapping

Map animal categories between COCO JSON datasets and generate a CSV file.

39|2|Updated Feb 14, 2023
Search Tags:#data analysis#model evaluation#category mapping#dataset alignment#COCO format
One-click install
npx skills add https://github.com/agentmorris/agentmorrispublic --skill animal-category-mapping
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: animal-category-mapping
Source: https://github.com/agentmorris/agentmorrispublic/tree/main/skills/animal-category-mapping
Command: npx skills add https://github.com/agentmorris/agentmorrispublic --skill animal-category-mapping

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill unit provides a solution for mapping one wildlife dataset's category names to another, enabling accurate model evaluation and alignment of categories between datasets.

Core Features & Use Cases

  • Dataset Category Mapping: Maps category names from a source dataset to a target dataset.
  • COCO Format Support: Operates with COCO-format .json files for category definitions.
  • CSV Output: Generates a CSV file with mappings, including optional notes for judgment calls.
  • Use Case: When transitioning from one dataset's category scheme to another for model evaluation or when cross-walking categories between datasets.

Quick Start

To map categories from the 'source_dataset.json' to 'target_dataset.json', save the output to 'mapping.csv' by running: animal-category-mapping source_dataset.json target_dataset.json mapping.csv

Frequently Asked Questions about animal-category-mapping

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map wildlife categories across datasets for model evaluation?▼

Category mapping for wildlife datasets requires matching animal category names from a source dataset to a target dataset, generating a CSV file for alignment.

Can I use COCO format JSON files for dataset alignment?▼

Yes, COCO format JSON files are required for dataset alignment. The script extracts category definitions from these JSON files to map categories between your source and target datasets.

What is the best way to cross-walk animal categories between two different datasets?▼

Cross-walking animal categories is done by running a Python script that extracts category names from source and target COCO JSON files and outputs a CSV file with the mapped alignments.

Does the generated category mapping CSV include notes for judgment calls?▼

Yes, the generated CSV file includes optional notes for judgment calls, allowing you to document specific decisions made when aligning category names between the two datasets.

Do I need Python to map animal categories between datasets?▼

Yes, Python is required to run the category mapping logic, which extracts category names from COCO JSON files and generates the output CSV file for dataset alignment.

Related Skills

Explore More Data & Analytics Skills→
The-InterdependencyThe-Interdependency
1

distill-medicine

Extract medically actionable claims with verbatim text and source citations from clinical content.

Official
Advanced
cwinkelmanncwinkelmann

practical-cv-wildlife

Orchestrate a six-agent workflow mapping PCV gaps to aerial wildlife detection curriculum.

Community
Advanced
mkurmanmkurman
321

flowio

Parse FCS files to extract event data and metadata into NumPy arrays or DataFrames.

Community
Intermediate
wuyoscarwuyoscar
934

aiml-pii-benchmark

Evaluate PII detector recall across curated sensitive data categories.

Community
Intermediate