全球百万网友迷上赛博「养鱼」，我也被这群AI小丑鱼拿捏了

Core Viewpoint - The article discusses the viral success of the AI game "Draw A Fish," which allows users to draw a fish and see it swim in a virtual fish tank, highlighting its simplicity and engaging mechanics that attract millions of players [3][14]. Group 1: Game Mechanics - The gameplay is straightforward: users draw a fish on a canvas, and the AI evaluates its resemblance to a fish, providing real-time feedback based on a similarity score [4][5]. - Once the drawing reaches a similarity of 60% or more, users can name their fish and place it in a shared virtual fish tank, where it swims alongside creations from other players [7][11]. - Players can interact with the fish in the tank by liking or disliking them, fostering a community atmosphere [8][16]. Group 2: User Engagement - The low barrier to entry, with no login or tutorial required, makes the game accessible, reminiscent of the addictive nature of "Flappy Bird" [15]. - The instant feedback mechanism from the AI enhances the sense of achievement, encouraging users to continue improving their drawings [15]. - The shared experience of seeing their creations come to life in the fish tank amplifies user satisfaction compared to traditional AI drawing tools [15]. Group 3: Technical Aspects - The game utilizes a convolutional neural network based on the ResNet18 architecture, trained on the Google QuickDraw dataset to classify drawings as "fish" or "not fish" [19][20]. - The model's design includes features like transparency handling and early stopping to optimize performance and reduce overfitting [21]. - The project also addresses data imbalance issues through weighted sampling and loss functions [23].