Human Intelligence. Delivered at Scale.

Sample Datasets

Download free annotated sample datasets and see our annotation standards firsthand. No call required.

All datasets are production-quality with multi-layer QA verification.

 

Telugu Single Voice Transcription

Telugu speech data with natural voice samples, built for reliable ASR and speech intelligence models.
99.1%

Accuracy

500+ Hours

Volume

Telugu Language

Labels

SRT / JSON Formats

Hindi Mono Voice Transcription

Hindi audio dataset featuring diverse speech patterns for scalable ASR and conversational AI systems.
99.1%

Accuracy

500+ Hours

Volume

Hindi Language

Labels

SRT / JSON Formats

Tamil Mono Voice Transcription

Tamil speech data with real-world voice variations, designed for accurate and robust speech recognition.
99.1%

Accuracy

500+ Hours

Volume

Tamil Language

Labels

SRT / JSON Formats

Autonomous Driving Point Cloud

25,000 video frames annotated with 2D/3D bounding boxes and object tracking for vehicles, pedestrians, and road infrastructure in urban environments.
97.2%

Accuracy

25,000 frames

Volume

8 classes

Labels

KITTI Format

Customer Intent Classification

50,000 customer service messages labeled with intent categories, sentiment scores, and entity annotations.
98.1%

Accuracy

50,000 messages

Volume

24 intents

Labels

JSONL

Street Scene Object Detection

10,000 urban driving images with bounding boxes for 12 object classes including vehicles, pedestrians, cyclists, and traffic signs.
97.4%

Accuracy

10,000 images

Volume

12 classes

Labels

COCO JSON

Multi-Object Tracking (MOT)

200 video clips with frame-by-frame bounding box tracking for pedestrians and vehicles across diverse urban environments.
95.2%

Accuracy

200 clips

Volume

4 classes

Labels

MOT Format

Medical X-Ray Segmentation

5,000 chest X-ray images with pixel-level segmentation masks for lung regions, cardiomegaly detection, and pleural effusion.
96.8%

Accuracy

5,000 images

Volume

6 classes

Labels

PNG Masks

Multi-Speaker Transcription

100 hours of meeting audio with speaker diarization, timestamps, and full transcription across 4 languages.
96.3%

Accuracy

100 Hours

Volume

4 languages

Labels

SRT + JSONL

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