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yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training,
Machine LearningLibrariesOpen Source
0
58,108stars
58,108points
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
yoloTFLitecomputer visionmodel-trainingyolov5instance-segmentationCoreMLobject detectionpytorchPythonYOLOv5image-classificationdeep learningmachine learningobject-detectionPyTorchonnxcoremlAI toolONNXdeep-learningmodel-exportcomputer-visiontfliteyolov3inferenceios