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| license: other | |
| license_name: nutrient-commercial | |
| pipeline_tag: object-detection | |
| language: [en] | |
| tags: | |
| - object-detection | |
| - document-ai | |
| - form-field-detection | |
| datasets: | |
| - nutrientdocs/form-field-v1-benchmark | |
| metrics: | |
| - accuracy | |
| # form-field-v1-medium Β· _commercial_ | |
| **The highest-accuracy tier of the `form-field-v1` detector family** β locates `Text`, `Choice` | |
| (checkbox/radio), and `Signature` widgets on **empty, filled, and handwritten** document pages. ~34M params, | |
| NMS-free, single-resolution 1216. | |
| The runnable weights are commercial and are not downloadable from this repository β this public page is the | |
| product specification and scorecard. Prefer a small, open model? See | |
| [`form-field-v1-nano`](https://huggingface.co/nutrientdocs/form-field-v1-nano) (Apache-2.0). | |
| - π― **Try it:** [form-field-v1-demo](https://huggingface.co/spaces/nutrientdocs/form-field-v1-demo) | |
| - π **Leaderboard:** [form-field-v1-leaderboard](https://huggingface.co/spaces/nutrientdocs/form-field-v1-leaderboard) | |
| - π **Benchmark:** [form-field-v1-benchmark](https://huggingface.co/datasets/nutrientdocs/form-field-v1-benchmark) | |
| ## Results | |
| COCO **mAP50-95** on the [`form-field-v1-benchmark`](https://huggingface.co/datasets/nutrientdocs/form-field-v1-benchmark), | |
| one shared pycocotools scorer across all models. | |
| | Model | Empty | Filled | Handwritten | | |
| |---|---|---|---| | |
| | **form-field-v1-medium** (this model) | **0.526** | **0.776** | **0.726** | | |
| | FFDetr (baseline) | 0.461 | 0.170 | 0.225 | | |
| | FFDNet-L (baseline) | 0.373 | 0.285 | 0.285 | | |
| Per-class on empty (mAP50-95): Text 0.612 / Choice 0.601 / Signature 0.364. Full per-class breakdowns are on the | |
| [leaderboard](https://huggingface.co/spaces/nutrientdocs/form-field-v1-leaderboard). | |
| ## Output | |
| ```json | |
| [ { "box": [82, 164, 336, 41], "type": "Text", "score": 0.94 } ] | |
| ``` | |
| `box` is `[x, y, w, h]` in page pixels; `type` β `Text`, `ChoiceButton`, `Signature`. Served as a single-file | |
| ONNX graph (fp32 + fp16), verified to reproduce the benchmark (fp32 mAP 0.6776 / fp16 0.6743 over all variants). | |
| ## Intended use and limits | |
| - Empty, filled, and handwritten digital/scanned forms are all supported. | |
| - GPU/server model (~57 fps on an A100). For on-device CPU use `form-field-v1-nano` / `-small`. | |
| - Very dense pages benefit from higher input resolution. | |
| ## License & data | |
| Weights are offered under a commercial Nutrient license. Evaluation is public and reproducible via | |
| [`form-field-v1-benchmark`](https://huggingface.co/datasets/nutrientdocs/form-field-v1-benchmark). The FFDetr | |
| baseline is [FF-DETR / CommonForms](https://huggingface.co/jbarrow/FFDetr) by jbarrow, Apache-2.0. | |
| > ### π© Get access | |
| > | |
| > `form-field-v1-medium` is commercial and its weights are not downloadable here. To run it on-prem, with | |
| > documents staying in your infrastructure β **contact Nutrient: | |
| > [nutrient.io/contact-sales](https://www.nutrient.io/contact-sales/).** | |
| ## About the author | |
| <a href="https://nutrient.io/"> | |
| <img src="https://avatars2.githubusercontent.com/u/1527679?v=3&s=200" height="80" /> | |
| </a> | |
| This project is maintained and funded by [Nutrient](https://nutrient.io/) - The deterministic document infrastructure enterprises run their highest-stakes workflows on: replayable output, clear exceptions, and full audit trails on the messy, regulated documents where AI alone breaks. | |