📝💡A few tips for preparing datasets for video analytics
1. Do not require a strict definition to include data in the set: provide a variety of frames so that you can learn about different situations. The higher the diversity of the data set, the better the model will generalize the essence of the detected object.
2. Plan for testing in possible conditions: prepare a list of sites and contacts where you can offer to shoot.
3. Annotate the data: When preparing data for video analytics, it can be useful to annotate the events in the video. This helps to recognize and classify objects more accurately.
4. Time Synchronization: Make sure all cameras are time synchronized. This will help to restore the sequence of events and link the action, which is natural on different cameras.
5. Dividing videos into segments: If you have a search engine for large video files, divide them into smaller segments. This simplifies data processing and analysis, and improves system performance.
6. Video metadata: Create metadata for videos, including timestamps, location information, and other time period data. This is in organizing and searching for video files and events in the subsequent analysis.