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3D LiDAR Point Cloud Bounding Box Annotation (Object Detection) Project Description: Overview: We are looking for experienced data annotators to perform high-quality 3D LiDAR bounding box labeling (cuboid annotation) on point cloud datasets for autonomous driving/robotics perception models. Scope of Work: Annotate Objects: Draw tight, precise 3D bounding boxes (cuboids) around target objects in point cloud scenes. Classes to Label: Vehicles (cars, trucks, buses), Pedestrians, Cyclists, and Miscellaneous obstacles. Orientation & Heading: Correctly align the orientation vector (yaw/heading direction) of each bounding box. Temporal Tracking (Interpolation): Track objects across sequential frames, ensuring consistent object IDs and smooth transitions. Strict Quality Control: Adhere...

I need an AI video analytics software that specializes in face detection, person detection, and object detection. Key functionalities required: - **Face Detection:** - Identifying individual faces - Counting number of faces - Emotional analysis - **Person Detection** - **Object Detection** Ideal Skills and Experience: - Proficiency in AI and machine learning - Experience with video analytics and computer vision - Strong programming skills (Python, TensorFlow, OpenCV) - Knowledge in emotion recognition technologies Please provide a portfolio showcasing similar projects.

Please read the following instructions carefully before starting. 1. Sample Images The client has provided 10 sample images. Since all of the samples follow the same annotation standard, I have divided them among the team to save time. Your assigned sample image should be treated as the reference while annotating your assigned batch. 2. Requirements - Draw Polygon annotations for all required objects visible in the image. - Apply Key Segmentation only for Broad Leaf and Weed, exactly as demonstrated in the sample images. - Do not use any different annotation style. Follow the sample as closely as possible. 3. Annotation Quality - Polygon boundaries must be tight and accurate. - Do not include unnecessary background. - Cover the complete visible area of each object. - If multiple obj...