Dataset Versions
Versions
2023-08-25 6:28pm
v32
· a year ago
2023-08-25 6:27pm
v31
· a year ago
2023-08-25 6:26pm
v30
· a year ago
2023-08-25 6:22pm
v29
· a year ago
2023-08-25 6:22pm
v28
· a year ago
2023-08-25 6:21pm
v27
· a year ago
2023-08-25 6:20pm
v26
· a year ago
2023-08-25 6:19pm
v25
· a year ago
2023-08-25 6:19pm
v24
· a year ago
v26
2023-08-25 6:20pm
Generated on Aug 25, 2023
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
Choose another format.
876 Total Images
View All Images
Dataset Split
Train Set 88%
768Images
Valid Set 8%
72Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -4° and +4°
Shear: ±8° Horizontal, ±0° Vertical
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 0.75px