Computer Vision APIs
Browse 23 free Computer Vision APIs for your next project.
Welcome to our comprehensive directory of Computer Vision tools and interfaces. Whether you are building a new application, automating a workflow, or just exploring the capabilities of computer vision technologies, the resources listed below are designed to help you succeed. Each entry provides essential details including authentication requirements and HTTPS support.
MNIST
Computer VisionDatabase of handwritten digits.
CIFAR-10
Computer VisionImages for object recognition.
ImageNet
Computer VisionLarge visual database designed for use in visual object recognition.
COCO
Computer VisionCommon Objects in Context.
YouTube-8M
Computer VisionVideo understanding dataset.
Kinetics
Computer VisionHuman action videos.
Waymo Open Dataset
Computer VisionAutonomous driving dataset.
nuScenes
Computer VisionMultimodal dataset for autonomous driving.
KITTI Vision Benchmark
Computer VisionVision dataset for autonomous driving.
Cityscapes
Computer VisionSemantic urban scene understanding.
CamVid
Computer VisionCambridge-driving Labeled Video Database.
PASCAL VOC
Computer VisionVisual Object Classes.
Labeled Faces in the Wild
Computer VisionFace recognition dataset.
CelebA
Computer VisionLarge-scale CelebFaces Attributes Dataset.
Open Images
Computer Vision9M images annotated with image-level labels.
Places365
Computer VisionScene recognition dataset.
HMDB51
Computer VisionA large human motion database.
UCF101
Computer VisionAction recognition dataset.
ImageNet (ILSVRC)
Computer Vision14 million hand-annotated images across 22,000 categories, the gold standard for image classification research.
COCO Dataset
Computer Vision330K images with 80+ object categories, keypoint detection, and panoptic segmentation annotations.
Open Images V7
Computer Vision9 million images with 36 million labels for object detection, segmentation, and visual relationship detection.
CelebA
Computer Vision200K celebrity face images with 40 attribute annotations for facial recognition and GAN research.
CIFAR-100
Computer Vision60,000 32x32 color images in 100 classes grouped into 20 superclasses for fine-grained image classification.