Irfan Pumpkin YOLOv8: Annotated Images for Object Detection

Irfan Pumpkin YOLOv8 is a dataset hosted on Kaggle. The title and platform tags suggest it contains images annotated for object detection, likely for training or evaluating YOLOv8 models. Specific details regarding the number of images, annotation format, and creation date are not provided in the available metadata.

Use Cases

• Training a YOLOv8 model to detect pumpkins or other objects in images (inferred from domain, verify after download)
• Benchmarking object detection model performance on a specific image corpus (inferred from domain, verify after download)
• Fine-tuning a pre-trained vision model for a custom detection task (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with an active community for data science.
• Platform tags indicate a focus on object detection with the YOLOv8 framework.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column/annotation details are unknown.
• License, author, and last updated information are unavailable.

Provenance

Source

Kaggle