Dataset Category

Computer Vision Datasets for AI Training

Labeled image datasets for object detection, segmentation, classification, and more. Every dataset is fraud-checked, quality-scored, and ready to train on.

Browse Computer Vision Datasets → Sell Your Dataset
5+
Formats Supported
LQS
Quality Scored
85%
Seller Payout
Instant
Download

What Computer Vision Datasets Cover

From real-time detection to fine-grained segmentation, find training data across every computer vision task.

📦

Object Detection

Bounding-box annotated images for detecting and localizing objects. Compatible with YOLO, COCO, and VOC training pipelines.

🎨

Image Segmentation

Pixel-level masks for semantic and instance segmentation tasks. Ideal for scene understanding, medical imaging, and satellite analysis.

🏷️

Image Classification

Single-label and multi-label image datasets organized by class. Drop in as training sets for ResNet, EfficientNet, ViT, and more.

🧍

Pose Estimation

Keypoint-annotated human and animal images for body pose, hand tracking, and gesture recognition models.

🚗

Scene Understanding

Multi-class annotated street, indoor, and aerial scenes for autonomous systems and robotics.

🔍

Optical Character Recognition

Text-in-image datasets with word and character-level bounding boxes for OCR and document AI pipelines.

Supported Dataset Formats

LabelSets validates every dataset's format and structure before it goes live. Filter by format on the browse page.

COCO
COCO JSON
Industry standard — used by Detectron2, MMDetection, YOLOv8
YOLO
YOLO TXT
Ultralytics YOLOv5/v8/v11 compatible normalized format
VOC
Pascal VOC XML
Per-image XML annotations, widely supported by torchvision
KITTI
KITTI 3D
Autonomous driving format with 3D bounding boxes and calibration
LME
LabelMe JSON
Polygon and point annotations from LabelMe tool exports
PQT
Parquet + Images
Columnar metadata with image references for large-scale datasets

Frequently Asked Questions

LabelSets supports COCO JSON, YOLO TXT, Pascal VOC XML, KITTI, and LabelMe formats. Every listing shows its format and you can filter by format on the browse page.
Every upload goes through an automated pipeline that checks file integrity, validates annotation structure, detects image spoofing via magic bytes, runs duplicate detection, and produces a quality score from 0–100%. Datasets scoring below 50% are rejected.
Yes — upload your dataset, pass verification, set your price, and start earning. Sellers keep 85% of every sale. There are no listing fees or subscriptions.
Each dataset specifies its own license — Commercial, Research-only, CC BY, CC BY-NC, or MIT. Filter by license on the browse page. Commercial licenses allow use in production AI systems.
Uploads up to 5 GB are supported. For larger datasets, sellers can split into multiple parts or contact support for enterprise options.

Ready to find your training data?

Browse verified computer vision datasets — or list yours and start earning today.

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