Shypd.aiThe largest open index of AI toolsYOLO-World is an Open Source & Models tool that provides real-time open-vocabulary object detection. It offers pre-trained models and fine-tuning capabilities for various computer vision tasks, including segmentation.
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YOLO-World is a cutting-edge, real-time open-vocabulary object detector, developed by AILab-CVC and accepted by CVPR 2024. This open-source project provides PyTorch implementation, pre-trained weights, and code for both pre-training and fine-tuning. It excels in open-vocabulary detection and grounding, allowing users to detect objects without pre-defined categories. The tool is pre-trained on large-scale datasets, including detection, grounding, and image-text datasets. YOLO-World introduces a prompt-then-detect paradigm for efficient user-vocabulary inference, re-parameterizing vocabulary embeddings into the model for superior inference speed. It supports various fine-tuning recipes, including normal fine-tuning, prompt tuning, and reparameterized fine-tuning, making it adaptable for custom datasets and specific domains. Additionally, it offers deployment options for ONNX, TFLite, and INT8 Quantization.
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