meta/mask2former 🖼️ → ❓

▶️ 658 runs 📅 Jan 2022 ⚙️ Cog 0.1.3+shimmed 🔗 GitHub 📄 Paper ⚖️ License
image-segmentation instance-segmentation masked-attention panoptic-segmentation semantic-segmentation transformer universal-segmentation

About

Masked-attention Mask Transformer for Universal Image Segmentation

Example Output

Output

[object Object]

Performance Metrics

2.90s Prediction Time
111.19s Total Time
Input Parameters
image Type: string
Input image for segmentation. Output will be the concatenation of Panoptic segmentation (top), instance segmentation (middle), and semantic segmentation (bottom).
Output Schema

Type: array • Items Type: object

Version Details
Version ID
97c0c2edeeb7c120c2859dca4fdee58d185131f79c857ba519e3a5cb7cdd7c66
Version Created
February 20, 2022
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