Dataset Versions
Versions
2023-11-27 8:01am
v14
· a year ago
2023-10-23 12:00am
v13
· a year ago
2023-10-15 12:42pm
v12
· a year ago
2023-10-02 4:36pm
v11
· a year ago
2023-09-17 5:37pm
v10
· a year ago
2023-08-27 8:44pm
v8
· a year ago
2023-08-27 7:43pm
v6
· a year ago
2023-08-23 9:35pm
v4
· a year ago
2023-08-06 2:28pm
v1
· a year ago
v14
2023-11-27 8:01am
Generated on Nov 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.
3000 Total Images
View All Images
Dataset Split
Train Set 88%
2625Images
Valid Set 8%
250Images
Test Set 4%
125Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
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°
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%