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fiftyone-model-evaluation

Skill

Evaluate model predictions against ground truth using COCO, Open Images, or custom protocols. Use when computing mAP, precision, recall, confusion matrices, or analyzing TP/FP/FN examples for detection, classification, segmentation, or regression tasks.

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Install

git clone https://github.com/voxel51/fiftyone-skills.git ~/.claude/skills/fiftyone-model-evaluation

What is fiftyone-model-evaluation?

Evaluate model predictions against ground truth using COCO, Open Images, or custom protocols. Use when computing mAP, precision, recall, confusion matrices, or analyzing TP/FP/FN examples for detection, classification, segmentation, or regression tasks.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~63 tokens of context used while enabled, before you invoke anything

Documentation

README · ~7 min read

Evaluate Model Predictions in FiftyOne

Key Directives

ALWAYS follow these rules:

1. Check if dataset exists and has required fields

list_datasets()
set_context(dataset_name="my-dataset")
dataset_summary(name="my-dataset")

Verify the dataset has both prediction and ground truth fields of compatible types.

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