I will computer vision ml models with yolo object detection

I accept datasets in any common format: images in folders (JPG, PNG), COCO format, Pascal VOC, or even raw images in a ZIP file. If your data is not annotated, I can guide you on annotation tools (Roboflow, Label Studio, CVAT). For best results, provide at least 200-500 images per category, though I

Training time depends on dataset size and hardware. Typical timelines: 500 images = 2-3 days, 1000+ images = 5-7 days. Larger datasets may take longer. I always provide a custom timeline after reviewing your dataset. Note: Fiverr delivery times (7/10/14 days) include training, optimization, and depl

Yes, that's the goal. I optimize models specifically for real-world performance using techniques like data augmentation, temporal filtering, and confidence thresholding. My models are tested for generalization. However, if your test data is drastically different from training data (different lightin

I'm committed to results. If accuracy is below expectations, I'll diagnose the issue—usually it's dataset quality, class imbalance, or insufficient data. I'll propose solutions: more training data, data augmentation, hyperparameter tuning, or trying a different architecture. Additional iterations ar