Cattle Weight Detection Model Dataset 12k
Large image dataset designed to detect livestock weight via smartphone, facilitating agricultural management and accurate recommendations.
Approximately 27,000 annotated image files, 47.85 GB
CC BY 4.0 (Attribution 4.0 International)
Description
This dataset contains approximately 27,000 images annotated, used to train a computer vision model capable of detecting livestock weight from images captured via smartphone. The project was developed as part of an initiative to improve agricultural practices in Bangladesh, by automating the volumetric measurement of cattle weight.
What is this dataset for?
- Train automatic livestock weight estimation models
- Helping farmers better manage food and care
- Facilitate the adoption of low-cost smart farming solutions
Can it be enriched or improved?
Yes, it is possible to add additional data covering different races, ages, or physical conditions. The annotation can be refined to include other characteristics such as health status or behavior.
In summary
🧠 Recommended for
- Agricultural computer vision researchers
- Smart farming developers
- AI projects for animal husbandry
🔧 Compatible tools
- TensorFlow
- PyTorch
- LabelImg
- OpenCV
💡 Tip
Make sure you have good storage management to handle large volumes of images.
Frequently Asked Questions
Does this dataset make it possible to estimate the weight in excess of 600 kg?
No, the model is optimized for weights between 60 and 450 kg, estimates beyond that are less reliable.
Does the CC BY 4.0 license have restrictions?
Yes, attribution is mandatory, but the dataset is freely usable commercially.
Can this dataset be used to train a model on a smartphone?
Yes, it was designed to work with smartphones and mobile applications.
