Dataset Versions
Versions
2024-07-25-Florence2-yolov10
v9
· 3 months ago
2024-07-25-Florence2-yolov9
v8
· 3 months ago
2024-07-25-Florence2-yolov8
v7
· 3 months ago
2024-07-24-Florence2-yolov8
v6
· 3 months ago
2024-07-24-Florence2-yolov10
v5
· 3 months ago
Florence2-large
v4
· 3 months ago
2024-07-23 4:59am
v3
· 3 months ago
2024-07-23 4:05am
v1
· 3 months ago
v3
2024-07-23 4:59am
Generated on Jul 23, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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3981 Total Images
View All Images
Dataset Split
Train Set 88%
3489Images
Valid Set 8%
331Images
Test Set 4%
161Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%