YOLOE released by researchers at Tsinghua University: Real-time seeing anything with zero-shot performance.
YOLOE can do both object detection and image segmentation and supports different prompt types, including text prompts, visual inputs, or even no prompt at all.

💡YOLOE results have been compared with YOLO-Worldv2, which supports arbitrary text prompts too.

Key highlights:

✅ Zero-shot performance: It can find and recognize new objects, even if it hasn’t seen them before.

✅ Training time: Based on a research paper, It reaches the same accuracy as YOLO-Worldv2 but in one-third of the time on the LVIS dataset.

✅ Inference time: Its prediction speed is slightly better in comparison to YOLO-Worldv2.

✅ Pretrained embeddings: It uses a stored Apple MobileCLIP text encoder to keep training fast.

*Github Repo:*
https://github.com/MuhammadMoinFaisal/YOLOE-Real-Time-Zero-Shot-Object-Detection-and-Segmentation

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Tags:
#yoloe #yolo #objectdetection #yoloworld

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