Training YoloV5 face detector on Lambda Cloud

Training YoloV5 face detector on Lambda Cloud is made possible by the cheapest A100 GPUs available, saving Machine Learning Engineers time and money. Training YoloV5-Large for 100 epochs on 4xA100 costs $4.03 and takes 55 minutes. The WiderFace dataset was used, with images of human faces in realistic contexts. YoloV5 offers excellent ease of use, configurability, and transparency, making it a practical solution for object detection tasks. HuggingFace Datasets simplifies the process of downloading and converting datasets, but may require additional conversion code. Training YoloV5 results in high accuracy and quick training times, with validation set mAP scores ranging from 67.5 to 81.5 for different variants of the model. The use of Weights and Biases experiment tracking software helps monitor model performance. Overall, Lambda Cloud + YoloV5 provides a compelling package for obtaining quick, accurate object detection results with minimal setup.

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