> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/developer/rest-api/model-evaluations/per-image-predictions.md).

# Per-Image Predictions

Returns per-image prediction records - TP/FP/FN counts, per-image precision/recall/F1, the image's cluster id and 2D embedding, and the raw confusion entries. Paginated.

This is the data the **per-image predictions** panel in the app reads.

```url
https://api.roboflow.com/:workspace/model-evals/:evalId/image-predictions
```

```bash
curl "https://api.roboflow.com/my-workspace/model-evals/$EVAL_ID/image-predictions?api_key=$ROBOFLOW_API_KEY&split=test&limit=50"
```

## Query parameters

| Parameter    | Type    | Description                                                                                          |
| ------------ | ------- | ---------------------------------------------------------------------------------------------------- |
| `split`      | enum    | One of `train`, `valid`, `test`, or `all`. Default `all`.                                            |
| `confidence` | integer | Confidence-threshold percentage in `[0, 100]` (selects which per-confidence report variant to read). |
| `limit`      | integer | Page size; default `200`, max `1000`.                                                                |
| `offset`     | integer | Skip this many records before returning. Default `0`.                                                |

## Response

```json
{
    "split": "test",
    "confidenceThreshold": 0.2,
    "totalImages": 192,
    "offset": 0,
    "limit": 50,
    "images": [
        {
            "imageId": "1QKLCUsfAzFiCIb6YCJj",
            "imageName": "abc.jpg",
            "split": "test",
            "augmentations": 2,
            "cluster": {
                "id": 4,
                "embedding2D": [7.494518280029297, -5.143994331359863]
            },
            "stats": {
                "truePositives": 2,
                "falsePositives": 7,
                "falseNegatives": 0,
                "precision": 0.222,
                "recall": 1.0,
                "f1": 0.364
            },
            "confusion": [
                [0, 0, 2],
                [2, 0, 7]
            ]
        }
    ]
}
```

## Notes

* `imageId` is the Roboflow source image id - useful for cross-referencing with other Roboflow APIs.
* `confusion` entries are `[actualClassIdx, predictedClassIdx, count]` triples; class indices reference the same array as [Confusion Matrix](/developer/rest-api/model-evaluations/confusion-matrix.md)'s `classes`.
* `embedding2D` is the UMAP-projected 2D coordinate used in the [Vector Analysis](/developer/rest-api/model-evaluations/vector-analysis.md) plot.
* Different `confidence` values return different stats - predictions change with the threshold. Note that probing arbitrary `confidence` values will only succeed for thresholds the eval pipeline materialized; unmaterialized variants return `404 report_not_found`.
* **Pagination cost**: each page re-reads the full `model_eval_results.json` file from storage and slices it server-side. For evals with very large `image_results` arrays, prefer larger `limit` values (up to `1000`) over many small pages to minimize the per-page fixed cost.


---

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