Rice Leaf Disease Detection Dataset Distribution

5.5 KB of data describes the distribution of a rice leaf disease image dataset used to train an improved Faster-RCNN model. The dataset was uploaded by author Xiaofan Shi in March 2026. It supports research into detecting fine features of rice diseases.

Use Cases

• Benchmarking Faster-RCNN-Pro model performance on rice disease detection tasks.
• Analyzing the impact of SENet attention modules on key image feature confidence.
• Evaluating ROI Align for reducing quantization error in object detection pooling.
• Studying the effect of balanced L1 loss functions on gradient imbalance in training samples.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Describes a model achieving better detection accuracy and robustness for fine features.

Limitations

• The dataset is extremely small at 5.5 KB, indicating limited scope.
• Specific row count, column names, and image samples are unavailable.

Provenance

Source

Xiaofan Shi via figshare.

Collection Method

Associated with an academic paper proposing an improved Faster-RCNN model.

Freshness

Last updated March 2026.