A Dataset for Semantic and Instance Segmentation of Modern Fruit Orchards
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A Dataset for Semantic and Instance Segmentation of Modern Fruit Orchards
Type
Publication
CVPR V4A Workshop (Vision for agriculture)
Diagram Placeholder
Please provide a diagram or sample images showing the synthetic data generation and automatic labeling using SAM2 and YOLO.
Placeholder: Synthetic Data Generation Pipeline
Authors
Abhinav Jain
(he/him)
PhD Candidate in Robotics
Soon-to-be Ph.D. graduate in Robotics and AI researcher specializing in robotic mamipulation. Skilled in complex simulation design
using Isaac Sim and Isaac Lab, and sim-to-real transfer for unstructured, real-world orchard environments.
Expertise in creating novel RL algorithms, applying Deep Reinforcement Learning and Imitation Learning to deploy robust manipulation
policies on physical robotic platforms. Recognized for research contributions in top-tier conferences
(ICRA, CVPR, AAAI), with proven experience in synthetic data generation and training RL, generative AI,
and Large Language Models (LLMs).