Animals Detection Images Dataset
Dataset of images extracted from Google Open Images V6+ for animal detection. Ideal for training computer vision models in animal recognition and tracking.
Approximately 58,100 annotated images for object detection, various formats (JPEG, PNG)
CC0: Public Domain
Description
The dataset Animals Detection Images Dataset contains over 58,000 annotated images from Google Open Images V6+. These images represent various animal species, accompanied by annotations for object detection. This dataset is designed to train computer vision models in order to detect and locate animals in natural scenes.
What is this dataset for?
- Train animal detection models in a variety of images
- Improving wildlife surveillance and conservation systems
- Testing and evaluating computer vision algorithms on real data
Can it be enriched or improved?
Yes, it is possible to add additional annotations such as semantic segmentation, finer classification, or to integrate contextual metadata (location, environmental conditions). Existing annotations can also be checked and corrected for greater accuracy.
🔎 In summary
🧠 Recommended for
- Computer vision researchers
- AI developers
- Wildlife conservation
🔧 Compatible tools
- TensorFlow
- PyTorch
- Detectron2
- YOLO
- OpenCV
💡 Tip
Combine this dataset with other specialized databases to increase the robustness of the models.
Frequently Asked Questions
Does this dataset contain annotations for animal locations?
Yes, it is annotated for object detection with location (bounding boxes).
Can this dataset be used for semantic segmentation?
Not directly, but it is possible to enrich the annotations for segmentation.
What is the approximate size of the dataset?
Approximately 58,100 annotated images taken from Google Open Images V6+.
