Shypd.aiThe largest open index of AI toolskeras-YOLOv3-model-set is an open-source Data & Analytics tool that provides an end-to-end YOLOv4/v3/v2 object detection pipeline. It supports various architectures and technologies for data collection, annotation, model training, evaluation, and on-device deployment.
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keras-YOLOv3-model-set offers a comprehensive, end-to-end object detection pipeline built on TensorFlow/Keras, supporting YOLOv4, YOLOv3, and YOLOv2 models. This open-source tool facilitates the entire lifecycle of object detection projects, from data collection and annotation to model training, tuning, evaluation, and deployment on various devices. It boasts support for diverse backbone architectures like CSPDarknet53, MobileNetV1/V2/V3, and EfficientNet, alongside different YOLO head types and loss functions, including GIoU, DIoU/CIoU, and SIoU. Advanced training techniques such as transfer learning, multiscale input, dynamic learning rate decay, and data augmentation methods like Mosaic and GridMask are integrated. The tool also supports on-device deployment with TensorFlow-Lite and MNN for both Float32 and UInt8 models, making it a versatile solution for developers and data scientists working on computer vision tasks.
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