Dataset Versions
Versions
v1
2022-10-11 11:23am
Generated on
Oct 11, 2022
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.
240 Total Images
View All ImagesDataset Split
Train
Set
88%
210Images
Valid
Set
8%
20Images
Test
Set
4%
10Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example:
3
Flip:
Horizontal
90° Rotate:
Clockwise, Counter-Clockwise
Crop:
0% Minimum Zoom, 20% Maximum Zoom
Rotation:
Between -15° and +15°
Shear:
±15° Horizontal, ±15° Vertical
Saturation:
Between -25% and +25%
Brightness:
Between -25% and +25%
Blur:
Up to 2px
Noise:
Up to 5% of pixels
Cutout:
3 boxes with 10% size each
Mosaic:
Applied
Bounding Box: Flip:
Horizontal
Bounding Box: 90° Rotate:
Clockwise, Counter-Clockwise
Bounding Box: Crop:
0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation:
Between -15° and +15°
Bounding Box: Shear:
±15° Horizontal, ±15° Vertical
Bounding Box: Brightness:
Between -25% and +25%
Bounding Box: Blur:
Up to 2px
Bounding Box: Noise:
Up to 5% of pixels
Similar Projects
See More1968 images
103 images
92 images
59 images1 model
300 images