Minecraft Mobs YOLO Dataset with 1,460+ Pre-Split Annotations

Minecraft Mobs YOLO Dataset provides over 1,460 pre-split YOLO annotations for detecting Minecraft mobs. The annotations are organized into four macro-classes. The dataset is hosted on Kaggle, but the author, organization, and specific license details are unknown.

Use Cases

• Train a YOLO-based object detector for Minecraft mobs based on the pre-split annotations.
• Benchmark object detection model performance on a gaming-specific dataset based on the four macro-classes.
• Fine-tune a pre-trained vision model for in-game entity recognition based on the annotated mob images.

Strengths

• Contains over 1,460 YOLO annotations.
• Annotations are pre-split, which may reduce preprocessing effort.
• Focuses on a specific domain with four defined macro-classes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle