Computer Vision Intern

Haryana, IndiaOn-SiteInternshipPosted 1mo ago

Job description

<span style="font-size:14.000275611877441pt;font-family:'League Spartan',sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Computer Vision Intern&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">We are looking for a Computer Vision Intern to assist in building and refining our image recognition pipeline.

The role

will start with dataset management—image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is complete, you’ll get hands-on exposure to model training, augmentation, and evaluation, contributing directly to our production-ready pipeline.&nbsp;<span style="font-size:13.077427864074707pt;font-family:'Anonymous Pro',monospace;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">For one in the Seat:&nbsp;<span style="font-size:14.000275611877441pt;font-family:'League Spartan',sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Responsibilities&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">1.Organize, clean, and preprocess large-scale retail image datasets.<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">2.Validate and manage annotations (bounding boxes, class labels, segmentation masks if applicable) using tools like Roboflow or CVAT or LabelImg.<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">3.Apply augmentation techniques and prepare datasets for training.<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">4.Support in training YOLOv5/YOLOv8-based models on custom datasets.&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">5.Run model evaluations (Precision, Recall, F1 Score, SKU-level accuracy).&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">6.Collaborate with the product team to improve real-world inference quality.&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">7.Document the dataset pipeline and share insights for improving data quality.<span style="font-size:12.64976692199707pt;font-family:'League Spartan',sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Who we're looking for:&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Must Have:&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">1.Basic understanding of Computer Vision concepts (Object Detection, Classification)&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">2.Familiarity with Python (OpenCV, Pandas, NumPy)&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">3.Knowledge of image annotation tools (Roboflow, LabelImg, CVAT, etc.)&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">4.Ability to manage and organise large datasets&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Good to have:&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">1.Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning)&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">2.Exposure to image augmentation techniques (Albumentations, etc.)&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">3.Understanding of retail/commercial shelf datasets or product detection problems&nbsp;<span style="font-size:12.004523277282715pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">4.Previous internship or project experience in computer vision is a plus&nbsp;

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FieldAssist

FieldAssist is a sales and distribution management platform that helps businesses streamline their operations.

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Industry: Sales & Distribution Software
Open roles: 21