Detect objects in images using preloaded YOLOv3 model for 80 classes. Import and run custom detection models. Export detected objects with bounding boxes. Adjust detection parameters and view results in real-time.
Allows users to view npm dependency links and descriptions directly in GitHub repositories. It displays package information beneath package.json files in repository file lists. Users can access dependency details without leaving the browser.
Create -based prototypes and level designs. Import sprite sheets and split them into individual sprites. Set terrain bit mask rules and generate brushes for terrain drawing. Define TileDefs with custom sizes, animations, and colors.
Create study decks and cards with ease. Review cards using automatic frequency adjustment based on performance. Speak text aloud for auditory learning. Import cards from JSON, CSV, or TSV files. Export cards to JSON format.
Teaches through games. Users match images of objects with their names. Includes categories like animals, fruits, and vegetables. Helps children recognize words and improve vocabulary. Suitable for ages 3-10 and grades 1-5.