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    I need a YOLOv9 face detection model trained for surveillance purposes. It's crucial that the model is optimized for high accuracy, even if it means that it may run slightly slower. Key requirements: - The model should be based on YOLOv9. - It should be trained to accurately detect faces in both indoor and outdoor environments. - Additionally, it needs to be able to detect people and vehicles. The final model needs to be suitable for both indoor and outdoor surveillance, which will require a good balance between accuracy and processing speed. Ideal skills for this project include: - Proficiency in YOLOv9 and related technologies. - Experience in training models for surveillance purposes. - An understanding of optimizing models for high accuracy without significant loss of process...

    $487 (Avg Bid)
    $487 Avg Bid
    55 bids

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