Field Assist is hiring for the role of Computer Vision Intern!

Responsibilities of the Intern:

• Organize, clean, and preprocess large-scale retail image datasets.
• Validate and manage annotations (bounding boxes, class labels, segmentation masks if applicable) using tools like Roboflow or CVAT or LabelImg.
• Apply augmentation techniques and prepare datasets for training.
• Support in training YOLOv5/YOLOv8-based models on custom datasets.
• Run model evaluations (Precision, Recall, F1 Score, SKU-level accuracy).
• Collaborate with the product team to improve real-world inference quality.
• Document the dataset pipeline and share insights for improving data quality.

Requirements:

• Basic understanding of Computer Vision concepts (Object Detection, Classification)
• Familiarity with Python (OpenCV, Pandas, NumPy)
• Knowledge of image annotation tools (Roboflow, LabelImg, CVAT, etc.)
• Ability to manage and organise large datasets
• Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning)
• Exposure to image augmentation techniques (Albumentations, etc.)
• Understanding of retail/commercial shelf datasets or product detection problems
• Previous internship or project experience in computer vision is a plus