Bounding Box Annotation
Pixel-tight 2D boxes and rotated bounding boxes for object detection, classification, and localization across crowded, occluded, or low-contrast imagery.
Pixel-level accuracy is determined by the annotator holding the tool, not the tool itself. Josisoft builds custom annotation workflows for each program, staffs them with domain-trained pods, and applies multi-stage QA to every batch. You get model-ready visual datasets that strictly meet your acceptance criteria—we own the quality end to end.
Talk to a Data SpecialistPixel-tight 2D boxes and rotated bounding boxes for object detection, classification, and localization across crowded, occluded, or low-contrast imagery.
Pixel-level semantic labeling that categorizes every individual pixel in an image by class (e.g., drivable road, sky, sidewalk, vegetation) without separating distinct instances.
Fine-grained boundary delineation that detects, traces, and assigns unique object IDs to every individual instance of a class (e.g., differentiating separate pedestrians in a crowd).
Multi-point landmark estimation, skeletal joint tagging, and facial feature mapping for pose estimation, gesture recognition, and ergonomic tracking.
Contour tracing for irregular, curved, or non-rectangular shapes, including lane boundary marking, powerline mapping, and agricultural parcel tracing.
Image-level category assignment and multi-label tagging based on visual content, lighting conditions, scene context, or quality flags.
Our teams integrate directly into your existing enterprise labeling tooling, including CVAT, Label Studio, Kili Technology, Roboflow, SuperAnnotate, or V7.
Annotators deploy directly into your custom, internal annotation interfaces via secure VPN access, maintaining your existing data security boundary.
For engineering teams without a dedicated labeling platform, we configure, deploy, and maintain isolated annotation tooling environments configured for your project taxonomy.
Lane marking, drivable surface segmentation, road hazards, traffic signs, and multi-camera pedestrian tracking.
Automated defect detection, assembly line part sorting, robotic bin picking, and spatial warehouse pathing.
Shelf stock tracking, SKU classification, product placement audits, and customer interaction analytics.
Surgical instrument localization, cellular structure tagging, and medical scan anomaly labeling.
Every annotator, QA reviewer, and project manager signs an NDA before accessing project assets.
Personnel are trained on data confidentiality: strict restrictions on screen sharing, zero tolerance for screen recording or screenshots, and supervised session management.
On-premise operations at our central Durgapur facility enforce controlled local networks, restricted USB and removable media ports, and supervised work environments.
Each client is assigned a dedicated team working in siloed environments, preventing cross-project data contamination and maintaining domain context.
Our delivery leads will calibrate a dedicated pod and return a benchmark batch to verify our accuracy, edge-case handling, and QA alignment before full production rollout.