Minecraft Mobs Detection Dataset with 27,400 Frames

A 87-class object detection dataset for Minecraft mobs. It contains 27,400 JPEG frames formatted for YOLO. The dataset was uploaded to Kaggle by an unknown author.

Use Cases

• Train object detection models based on the 87 mob classes.
• Benchmark YOLO model performance on synthetic game imagery.
• Develop and test computer vision pipelines for video game content analysis.

Strengths

• Contains 27,400 labeled image frames.
• Designed for a specific 87-class object detection task.
• Formatted for immediate use with the YOLO framework.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Likely extracted from Minecraft gameplay or generated within the game engine.