Dataset Versions
Versions
2023-06-01 6:47am
v15
· 2 years ago
2023-05-28 5:11pm
v14
· 2 years ago
2023-05-27 7:36pm
v13
· 2 years ago
2023-05-27 6:31pm
v12
· 2 years ago
2023-05-22 12:22pm
v11
· 2 years ago
2023-05-18 8:02am
v10
· 2 years ago
2023-05-17 2:35pm
v9
· 2 years ago
2023-05-15 9:32pm
v6
· 2 years ago
2023-05-04 7:10pm
v2
· 2 years ago
2023-05-04 6:29pm
v1
· 2 years ago
v13
2023-05-27 7:36pm
Generated on May 27, 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.
4469 Total Images
View All Images
Dataset Split
Train Set 93%
4173Images
Valid Set 3%
147Images
Test Set 3%
149Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 7% size each
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Brightness: Between -25% and +25%