Every kind of training data, labeled to your spec

We work in your tool or ours, follow your guideline to the letter, and ask before we guess. Jump to a data type below.

Image annotation

Boxes, polygons, masks and keypoints drawn tight to the pixel, on any class list you give us.

2D bounding boxes: Tight, axis-aligned or rotated boxes with occlusion and truncation flags.
Polygons & instance masks: Vertex-precise outlines for irregular objects, crops, lesions and parts.
Semantic segmentation: Every pixel assigned a class, with consistent boundaries between neighbours.
Keypoints & skeletons: Body pose, face landmarks, livestock and custom skeletons with visibility states.
Classification & tagging: Single- and multi-label image tags, attributes and quality filters.
OCR & document fields: Text transcription and key–value extraction from receipts, IDs and forms.

Retail shelf audits, Crop and weed detection, Medical imaging, Damage assessment.

Objects tracked frame to frame with persistent IDs, plus events and actions on a timeline.

Multi-object tracking: Boxes or polygons interpolated across frames with stable track IDs.
Event & action tagging: Start and end timestamps for actions, incidents and behaviours.
Frame classification: Scene, weather, lighting and quality labels per frame or per clip.

Traffic and ADAS, Sports analytics, Security footage, Livestock behaviour.

3D cuboids, point-level segmentation and 2D–3D sensor fusion for perception teams.

3D cuboids: Oriented boxes with heading, tracked through sequences.
Point cloud segmentation: Per-point class labels for ground, vehicles, vegetation and more.
Sensor fusion: Linked labels across camera and LiDAR frames with calibration checks.
Lane & road marking: Polylines for lanes, curbs, crossings and drivable area.

Autonomous vehicles, Robotics, Mapping and surveying, Drones.

Entities, intents, sentiment and relations, in English, Bengali and other languages on request.

Named entity recognition: Span-level entity tags with nested and overlapping entities.
Intent & sentiment: Utterance classification for chatbots, reviews and support tickets.
Relation extraction: Links between entities for knowledge graphs and search.
Translation review: Bengali–English checks for fluency, accuracy and terminology.

Customer support AI, Search relevance, Content moderation, Bengali NLP.

Verbatim transcripts, speaker turns and sound events, aligned to the waveform.

Voice assistants, Call analytics, Bengali ASR, Media captioning.

Human preference rankings, rubric scoring and written demonstrations for model fine-tuning.

Preference ranking: Side-by-side comparison of model answers with written rationale.
Rubric evaluation: Scoring for helpfulness, accuracy, safety and tone against your rubric.
Prompt–response writing: Original demonstrations for supervised fine-tuning.
Red-teaming support: Structured adversarial prompts and failure categorisation.

Chat assistants, Domain-specific copilots, Evaluation sets, Safety tuning.

No onboarding fee for learning your platform. If you don’t have one, we’ll set up a private workspace and hand you the exports.