# roboflow/model-leaderboard

<https://repo.masters-masters.com/en/repos/roboflow/model-leaderboard>

[Home](https://repo.masters-masters.com/en) › [roboflow](https://repo.masters-masters.com/en/owners/roboflow) › [model-leaderboard](https://repo.masters-masters.com/en/repos/roboflow/model-leaderboard)

roboflow/model-leaderboard has 109 stars on GitHub. Its RepoMasters card: Prototype tier. Which model is the best at object detection? Which is best for small…

| Field | Value |
| --- | --- |
| Owner | [roboflow](https://repo.masters-masters.com/en/owners/roboflow) |
| Stars | 109 |
| Forks | 15 |
| Language | [TypeScript](https://repo.masters-masters.com/en/languages/typescript) |
| License | MIT |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [roboflow/model-leaderboard](https://github.com/roboflow/model-leaderboard) |

## Repository

Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.