Dataset Versions
Versions
2023-11-21 4:03pm
v10
· a year ago
2023-11-21 12:58pm
v9
· a year ago
2023-11-21 12:26am
v8
· a year ago
2023-11-12 10:43am
v7
· a year ago
2023-11-11 9:04pm
v6
· a year ago
2023-11-11 10:45am
v5
· a year ago
2023-11-11 10:25am
v4
· a year ago
2023-11-11 10:21am
v3
· a year ago
2023-11-11 10:18am
v2
· a year ago
2023-11-11 10:15am
v1
· a year ago
v8
2023-11-21 12:26am
Generated on Nov 20, 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.
3425 Total Images
View All Images
Dataset Split
Train Set 92%
3165Images
Valid Set 4%
131Images
Test Set 4%
129Images
Preprocessing
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 4.5px
Noise: Up to 4% of pixels
Cutout: 2 boxes with 25% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 1.5px