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name: data-configs description: "Guides FCOS YAML config selection, MODEL.FCOS options, dataset catalog layouts, custom data planning, and safe config validation." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

FCOS Data and Configs

Use this sub-skill when the task involves FCOS YAML files, cfg.merge_from_file, MODEL.FCOS keys, dataset catalog names, COCO/VOC/Cityscapes directory layouts, Cityscapes conversion, or validation before train/eval.

Start here

1. Read references/configuration.md for config merge behavior and core FCOS options.
2. Read references/model-catalog.md to choose a config family.
3. Read references/data-formats.md for COCO/VOC/Cityscapes layouts and custom dataset constraints.
4. Run scripts/validate_fcos_config.py to merge a config safely.
5. Run scripts/validate_dataset_layout.py before starting train/eval.
6. Read references/troubleshooting.md for YAML, override, dataset-key, and class-count failures.

Boundaries

• Route actual training/evaluation commands to ../training-evaluation/SKILL.md.
• Route single-image demos to ../inference-demo/SKILL.md.
• Route ONNX export configuration to ../onnx-export/SKILL.md.
• Route source-code registry edits or tests to ../internals-maintenance/SKILL.md.

Common workflow

For a user who wants to train or evaluate:

1. Pick the closest config family and model size.
2. Validate that the config loads.
3. Validate dataset paths for the dataset keys in DATASETS.TRAIN and DATASETS.TEST.
4. Only then build training/evaluation commands.