1. Upload Training Data i. Start by uploading or browsing the web for a few images to train your model. ii. Annotate for sample instances of objects you want to detect. 2. Get a Model in Minutes i. Nanonets generates powerful cloud-based API in minutes using your data + large pre-trained models. ii.No parameter-tuning or additional data required. 3. Test a pre-trained model i. Query the cloud API to predict results on a test image. For more accuracy, add more data. ii. Integrate into your existing API using a couple of lines of code.


