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Download objectDetection/yolo26/README.md from camstack/camstack-models: direct link, hf CLI and curl.
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| <!-- Hand-written 2026-09-26 (plan docs/superpowers/plans/2026-09-26-model-license-compliance.md, Task 2) in camstack/server hf/camstack-models/. Edit it there, not on the Hub. --> | |
| # objectDetection/yolo26: YOLO26 (Ultralytics), object detection | |
| | | | | |
| | --- | --- | | |
| | Catalog id | `yolo26n`, `yolo26s`, `yolo26m`, `yolo26l`, `yolo26x`, and every `-fp16`, `-int8`, `-320`, `-256`, `-320-int8`, `-256-int8` variant | | |
| | Upstream | Ultralytics YOLO26, COCO-pretrained: https://github.com/ultralytics/ultralytics | | |
| | Obtained from | upstream checkpoints `yolo26{n,s,m,l,x}.pt`, https://github.com/ultralytics/assets/releases | | |
| | Code licence | AGPL-3.0 | | |
| | **Weights licence** | **AGPL-3.0** ([`LICENSES/AGPL-3.0.txt`](../../LICENSES/AGPL-3.0.txt)) | | |
| | Training data | COCO 2017 (annotations CC BY 4.0, [`LICENSES/CC-BY-4.0.txt`](../../LICENSES/CC-BY-4.0.txt); images under their Flickr owners' terms) | | |
| | CamStack modifications | exported with Ultralytics to ONNX (dynamic batch), OpenVINO IR (FP32 and FP16) and CoreML FP16; `-320` and `-256` re-exported at that input size; `-int8` post-training quantised with OpenVINO NNCF | | |
| | Corresponding source | [Source offer for the AGPL-3.0 weights](../../THIRD_PARTY_MODELS.md#source-offer-for-the-agpl-30-weights) | | |
| | Commercial use | AGPL-3.0 obligations apply (source, licence text, notices) | | |
| CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is [`LICENSE`](../../LICENSE); every model's attribution is in [`THIRD_PARTY_MODELS.md`](../../THIRD_PARTY_MODELS.md). | |