From 9443a433fc66313bb76b76089f0ff3d8bb32dae9 Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Mon, 14 Jul 2025 22:03:00 +0300 Subject: [PATCH] =?UTF-8?q?fix:=20=F0=9F=90=9Equick=20typo=20fix.?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docs/changelog.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/changelog.md b/docs/changelog.md index 84a05e39..cd8ca3ea 100644 --- a/docs/changelog.md +++ b/docs/changelog.md @@ -11,7 +11,7 @@ - `Detections.from_vlm` now supports: - bounding boxes and segmentation masks response from [Google Gemini models](https://ai.google.dev/gemini-api/docs/vision). ([#1792](https://github.com/roboflow/supervision/pull/1792)) - bounding boxes response from [Moondream](https://github.com/vikhyat/moondream). ([#1878](https://github.com/roboflow/supervision/pull/1878)) - - bounding noxes response from [Qwen-2.5 VL](https://github.com/QwenLM/Qwen2.5-VL). ([#1709](https://github.com/roboflow/supervision/pull/1790)) + - bounding boxes response from [Qwen-2.5 VL](https://github.com/QwenLM/Qwen2.5-VL). ([#1709](https://github.com/roboflow/supervision/pull/1790)) - Align Supervision's mAP implementation (`sv.MeanAveragePrecision`) with [pycocotools](https://github.com/ppwwyyxx/cocoapi), the official COCO evaluation tool, thus ensuring accurate, reliable, and standardized metrics. You can refer to the table [here](https://github.com/roboflow/model-leaderboard/pull/92#issue-3175929645) that documents the accuracy of Supervision’s mAP implementation with respect to pycocotools’ implementation. ([#1834](https://github.com/roboflow/supervision/pull/1834))