Dataset Versions
Versions
2022-11-02 3:18pm
v22
· 2 years ago
2022-08-05 9:13pm
v21
· 2 years ago
2022-08-05 9:09pm
v20
· 2 years ago
2022-07-24 11:01am
v19
· 2 years ago
version18
v18
· 3 years ago
version17
v17
· 3 years ago
yolov16
v16
· 3 years ago
yolov15
v14
· 3 years ago
yolov14
v13
· 3 years ago
test_hay
v12
· 3 years ago
nono
v10
· 3 years ago
2022-01-14 9:55am
v9
· 3 years ago
yolov5v7new
v8
· 3 years ago
yolov5ver5
v6
· 3 years ago
yolo5ver3
v3
· 3 years ago
yolov5ver2
v2
· 3 years ago
v9
2022-01-14 9:55am
Generated on Jan 14, 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.
3480 Total Images
View All Images
Dataset Split
Train Set 93%
3234Images
Valid Set 4%
155Images
Test Set 3%
91Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 3% of pixels
Cutout: 4 boxes with 14% size each
Bounding Box: Crop: 10% Minimum Zoom, 29% Maximum Zoom
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Blur: Up to 3px