Data Labeler – Crop Disease Classifier (Research Project)
OtherImageClassification
Contributed to a crop disease classifier project by fine-tuning ResNet50 with transfer learning on a labeled agricultural dataset. Managed image data labeling for 15 crop disease categories to support model training and validation tasks. Implemented augmentation techniques to improve class balance and model performance across varying field conditions.
• Labeled and curated a dataset consisting of agricultural images depicting different crop diseases.
• Applied classification labels to images for use in supervised machine learning experiments.
• Conducted quality assurance to ensure annotation accuracy and category correctness.
• Utilized Python and TensorFlow for model training on labeled data.
Contributed to a crop disease classifier project by fine-tuning ResNet50 with transfer learning on a labeled agricultural dataset. Managed image data labeling for 15 crop disease categories to support model training and validation tasks. Implemented augmentation techniques to improve class balance and model performance across varying field conditions. • Labeled and curated a dataset consisting of agricultural images depicting different crop diseases. • Applied classification labels to images for use in supervised machine learning experiments. • Conducted quality assurance to ensure annotation accuracy and category correctness. • Utilized Python and TensorFlow for model training on labeled data.
2023 - 2024