---
license: cc-by-4.0
tags:
- blackline-atlas
- sam3
- sam3.1
- satellite-imagery
- conflict-disruption-triage
- segmentation-eval
task_categories:
- image-segmentation
size_categories:
- n<1K
---

# Blackline Atlas SAM3 Real-Image Eval Pack

This dataset packages the Blackline Atlas SAM3/SAM3.1 selected-site evidence eval pack
with real SimSat Sentinel image pairs.

It is an evaluation and integration dataset, not a training benchmark. The cases are exact
civilian lifeline sites with current/baseline satellite frames, text prompts, expected
visual evidence tags, expected triage action, and optional normalized bboxes.

## Contents

- Cases: `22`
- Images: `44` PNG files
- Dataset file: `sam3_eval_pack.jsonl`
- Image layout: `images/<source_case_id>/current.png` and `images/<source_case_id>/baseline.png`

## Intended Use

Use this dataset to run SAM3/SAM3.1 zero-shot promptable segmentation against selected
civilian disruption sites before deciding whether any segmentation fine-tuning is justified.

## Important Limitations

- This is not a tactical targeting dataset.
- Labels are Blackline operational eval labels, not expert pixel masks.
- Fine-tuning SAM3/SAM3.1 still requires real binary mask supervision; these rows are
  for inference/eval gating.
- Sentinel resolution limits small-object and fine-grained damage claims.