Florence-2
The data format used by the Florence-2 multimodal model.
Overview
Florence-2 uses a text-based format for annotations. You can use annotated data to fine-tune Florence-2 for tasks like object detection.
Convert Data to Florence-2
- COCO JSON
- Cogniac
- CreateML JSON
- Google Cloud AutoML Vision CSV
- IBM Cloud Annotations JSON
- Kaggle Wheat CSV
- LabelBox JSON
- LabelBox Video JSON
- LabelMe JSON
- Marmot XML
- Multiclass Classification CSV
- OIDv4 TXT
- OpenImages CSV
- PaliGemma JSONL
- Pascal VOC XML
- RetinaNet Keras CSV
- Sagemaker GroundTruth Manifest
- Scale AI JSON
- SuperAnnotate JSON
- Supervisely JSON
- Tensorflow Object Detection CSV
- Udacity TXT
- Unity Perception JSON
- VoTT CSV
- VoTT JSON
- YOLO Darknet TXT
- YOLO Keras TXT
- YOLOv10 PyTorch TXT
- YOLOv8 PyTorch TXT