drivendataorg / zamba
A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images
Why this job: works in the areas we cover, but does not say which job it does
What it does
The official video models in zamba can identify blank videos (where no animal is present) along with 32 species common to Africa and 11 species common to Europe. The official image models identify species from throughout the world: lila.science covers 178 global species and groups, and speciesnet (a conversion of Google's SpeciesNet) covers a much larger taxonomy of over 2,000 classes. Users can also finetune models using their own labeled images and videos to then make predictions for new species and/or new ecologies.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 163
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.7.2
- Released 4 months ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 74% closed
- 53 still open
- Pull requests
- 165 merged
- 14 waiting
- Releases
- 22
- 3 in the last year
- No contributing guide
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 99%
- Makefile 1%
Topics
- animals
- camera-traps
- chimps
- cli
- conservation
- deep-learning
- ecology
- gpu
- images
- jungle
- machine-learning
- neural-network
Project record
- JobOther AI tools
- StatusListed
- Commits284
- Forks40
- Watching15
- Stars in 28 days+1
- CreatedMar 6, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026