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yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training,
Machine LearningLibrariesOpen Source
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57,840stars
57,840points
About
YOLOv5 is a state-of-the-art object detection tool built in PyTorch, offering seamless conversion to ONNX, CoreML, and TFLite formats. It is designed for developers and researchers needing efficient and scalable object detection solutions across various platforms.
Technical Details
- Task Type
- general
- Technical Level
- advanced
- Deployment Options
- librarycli
Information
- Launched
- May 18, 2020
- Popularity Score
- 100.0
Tags
pytorchcomputer-visionmachine learningyolov5CoreMLobject-detectioninferencePyTorchTFLiteAI toolmodel-exportPythontfliteimage-classificationyolov3instance-segmentationcoremldeep learningyoloonnxobject detectionONNXYOLOv5model-trainingiosdeep-learningcomputer vision