Multi-Crop RGB Images for Leaf Counting Regression

Multi-crop RGB image dataset supports precise leaf counting and regression analysis. The dataset was created by an author known as AK and is hosted on Kaggle. Specific details on the number of images, source crops, and creation date are not provided.

Use Cases

• Train regression models to predict leaf count from multi-crop RGB images.
• Develop object detection models to locate and count individual leaves in crop images.
• Benchmark image-based plant growth analysis algorithms using labeled leaf data.

Strengths

• Focuses on the specific computer vision task of leaf counting.
• Designed for regression analysis, providing a clear modeling target.

Limitations

• The total number of images, samples, and annotations is unknown.
• No information is provided on potential class imbalance or annotation consistency.
• Geographic origin and plant species covered are unspecified.

Provenance

Source

Kaggle user 'AK'.

Collection Method

Collection method for the multi-crop RGB images is unknown.