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Himanshu Patel

Himanshu Patel

Ai - Data Annotator

India flagRopar, India
$16.50/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

Finance

Top Data Types

ImageImage
VideoVideo

Top Task Types

Object DetectionObject Detection
TrackingTracking
Point/Key PointPoint/Key Point

Freelancer Overview

I have been actively contributing towards the Ai from my first semester. I have been working on projects including rl on habitat simulation , and in medical field. Core strengths include Other. Education includes Bachelor of Technology, Indian Institute of Technology, Ropar (2024) and Senior Secondary Certificate, Central Board of Secondary Education (2023). AI-training focus includes data types such as Image and Video and labeling workflows including Object Detection, Tracking, and Point.

Entry LevelEnglish

Labeling Experience

Keypoint annotation for court-line detection in tennis analysis

OtherImagePoint Key Point
I developed and annotated datasets for court-line and keypoint detection using convolutional neural networks (CNNs). The labeling involved marking precise keypoints on court images and enabling homography transformations for coordinate mapping. These labeled datasets supported model training and tactical visualization modules. • Created ground truth keypoint datasets for tennis court images. • Used labeled keypoints for mapping image coordinates to real-world space. • Enabled mini-court visualization tools through accurate keypoint data. • Improved label quality via data augmentation processes.

I developed and annotated datasets for court-line and keypoint detection using convolutional neural networks (CNNs). The labeling involved marking precise keypoints on court images and enabling homography transformations for coordinate mapping. These labeled datasets supported model training and tactical visualization modules. • Created ground truth keypoint datasets for tennis court images. • Used labeled keypoints for mapping image coordinates to real-world space. • Enabled mini-court visualization tools through accurate keypoint data. • Improved label quality via data augmentation processes.

2025 - 2025

Multi-object tracking annotation for video-based tennis analysis

OtherVideoTracking
I implemented robust multi-object tracking for players and the ball within tennis match videos. Labeled data was used to track movements and interactions, leveraging both IoU-based tracking and Kalman filter techniques. Annotations enabled computation of player speeds, ball velocities, and shot trajectories. • Managed labeling and tracking workflow for event detection and tactical analysis. • Integrated annotations for improved tracking accuracy and analytics. • Created a mini-court visualization module for top-down analysis of labeled positions. • Maintained tracking and annotation consistency across match sequences.

I implemented robust multi-object tracking for players and the ball within tennis match videos. Labeled data was used to track movements and interactions, leveraging both IoU-based tracking and Kalman filter techniques. Annotations enabled computation of player speeds, ball velocities, and shot trajectories. • Managed labeling and tracking workflow for event detection and tactical analysis. • Integrated annotations for improved tracking accuracy and analytics. • Created a mini-court visualization module for top-down analysis of labeled positions. • Maintained tracking and annotation consistency across match sequences.

2025 - 2025

Image annotation and model training for tennis match analysis

OtherImageObject Detection
I trained and fine-tuned custom YOLO models for detecting tennis balls in match footage. The labeling process included annotating image datasets with bounding boxes and keypoints for players, balls, and tennis court lines. Data augmentation and transfer learning techniques were applied to improve detector robustness and accuracy. • Utilized YOLOv8x for player detection and custom-trained ball detector models. • Annotated image coordinates for court keypoints to map to real-world coordinates. • Evaluated model performance using metrics such as mAP and IDF1. • Generated annotated video outputs overlaying object and trajectory detections.

I trained and fine-tuned custom YOLO models for detecting tennis balls in match footage. The labeling process included annotating image datasets with bounding boxes and keypoints for players, balls, and tennis court lines. Data augmentation and transfer learning techniques were applied to improve detector robustness and accuracy. • Utilized YOLOv8x for player detection and custom-trained ball detector models. • Annotated image coordinates for court keypoints to map to real-world coordinates. • Evaluated model performance using metrics such as mAP and IDF1. • Generated annotated video outputs overlaying object and trajectory detections.

2025 - 2025

Education

C

Central Board of Secondary Education

Senior Secondary Certificate, Science

Senior Secondary Certificate
2021 - 2023
C

Central Board of Secondary Education

Secondary School Certificate, General Studies

Secondary School Certificate
2019 - 2021

Work History

I

Indian Institute Of Technology

Coordinator, Coding Club

Ropar
2025 - Present