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Farm Animals Dataset – Sheep & Donkeys (1,000 Images)
Generative AI & Computer Vision
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£19
About
This dataset contains 1,000 high-quality JPG images featuring sheep and donkeys inside fenced enclosures, captured from multiple angles, distances, and lighting conditions. The images portray authentic farm environments, including animals resting, walking, grazing, interacting, and approaching the camera. The diversity of perspectives and natural variations makes this dataset suitable for agricultural AI systems, livestock monitoring, object detection, segmentation, and generative model training.
Dataset Features
List and describe each column or key feature of the dataset.
- Animal Types: Sheep and donkeys in real farm settings.
- Scenes Included: Animals in enclosures, grazing behavior, close-up and distant views, full-body shots, partial occlusions, groups and individuals.
- Image Type: High-resolution JPG photographs captured in outdoor rural environments.
- Variability: Wide range of lighting conditions, angles (frontal, aerial-like, side), distances, backgrounds, and enclosure elements.
- Environmental Context: Fences, terrain, grass, hay, mud patches, sky fragments, and typical farm elements.
- Uniqueness: All images are original and non-stock.
Distribution
Detail the format, size, and structure of the dataset.
- Data Volume: 1,000 individual JPG images.
- Organization: Delivered as a single ZIP archive with clear and consistent naming.
- Resolution: Majority between 3000–6000 px on the longest side.
- Structure: One unified folder for direct integration into ML workflows.
Usage
This dataset is ideal for a variety of applications:
- Application: Animal detection, classification, and instance segmentation.
- Application: Livestock monitoring systems and agricultural automation.
- Application: Behavioral analysis models for farm environments.
- Application: Training drone-based farm vision systems.
- Application: Synthetic data generation and rural environment simulation.
- Application: Multimodal research involving animals and natural outdoor scenes.
- Application: Fine-tuning generative AI models for landscapes and farm animals.
Coverage
Explain the scope and coverage of the dataset:
- Geographic Coverage: Italy; suitable for global agricultural AI training.
- Time Range: Images captured in 2024.
- Demographics: Not applicable (animals only).
License
Proprietary
Who Can Use It
List examples of intended users and their use cases:
- Data Scientists: For segmentation, detection, and agricultural ML pipelines.
- Researchers: For behavioral analysis and rural environmental modeling.
- Businesses: For smart farming, livestock monitoring, and drone-AI solutions.
- AI Companies: For generative model training involving real animals.
- Developers: For computer vision models in agriculture and automation.
Include any additional notes or context about the dataset that might be helpful for users.
- All photos are original and fully owned by Alessandro Grandini.
- No humans appear in the images.
- No images were generated by AI.
- All scenes were photographed in real agricultural environments.
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