Model Evaluation Jobs

I need to fine-tune an existing computer-vision model for object detection so it performs reliably on my custom dataset. The base architecture is already selected; the task now is to prepare the data, set up transfer-learning, run hyper-parameter sweeps, and deliver a set of weights that reach an agreed-upon mAP on a held-out validation split. You may use PyTorch, TensorFlow, or another mainstream framework as long as the final model can be exported to ONNX. Please share examples of past work where you have successfully fine-tuned or trained object-detection networks—links to repos, papers, or short demos are ideal. Once we decide on the starting checkpoint and training environment, I’ll supply labeled images, class definitions, and any additional annotations you need. Delive...

we were looking for someone to help us compare AI generated images, videos n voice clips and say which one is better, and why. thats the whole job honestly, but the "why" is the part that matters. you get a prompt, sometimes a reference photo, and two outputs. You go through the prompt like a checklist, check both against it, look at quality n artifacts, pick A or B, and write 2 to 3 sentences pointing at the exact thing that decided it. "B misses the third seedling" not "B felt weaker". For voice tasks you actually listen, not just read the transcript. what we need: native english speaker, this ones a must. Some background in AI training data, labeling / annotation or AI evaluation work. But honestly the mindset matters more than the years... you pick thing...

I am putting together a single, end-to-end machine-learning pipeline that can ingest three kinds of data—text, numbers, and images—and turn them into actionable insight. The heart of the project is a blend of data analysis, prediction/forecasting, and natural language processing. I am lookng for AI specialist partners who can assist me with european based projects who are maybe in asia or americas. For text I will supply customer reviews, social-media posts, and scientific articles. I want sentiment and topic extraction from the reviews and posts, and key-concept summarisation for the articles. On the numerical side I have time-series and tabular metrics that need feature engineering followed by forecasting. Finally, the image component involves basic classification and the o...