Computer Vision Intern
On-siteHaryana, State of Haryāna, Republic of India
Job Summary
Manage and organize large-scale retail image datasets through collection, cleaning, and preprocessing. Validate annotations using tools like Roboflow or CVAT, apply augmentation techniques, and support training YOLOv5/YOLOv8 models on custom data. Run evaluations for precision, recall, and SKU-level accuracy while collaborating with the product team to improve real-world inference quality. Document the dataset pipeline and share insights for enhancing data standards. This internship offers hands-on exposure to building a production-ready image recognition pipeline within our retail product group.
Required Qualifications
- 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
Desired Qualifications
- 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
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