Dataset Versions
Versions
2022-08-15 5:24pm
v41
· 2 years ago
2022-08-15 5:12pm
v40
· 2 years ago
2022-08-15 4:05pm
v39
· 2 years ago
2022-08-15 2:28pm
v36
· 2 years ago
2022-08-15 2:26pm
v35
· 2 years ago
2022-08-15 1:10pm
v34
· 2 years ago
2022-08-12 4:58pm
v33
· 2 years ago
2022-08-12 3:56pm
v32
· 2 years ago
2022-08-11 2:23pm
v31
· 2 years ago
2022-08-11 10:26am
v30
· 2 years ago
v34
2022-08-15 1:10pm
Generated on Aug 15, 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.
3000 Total Images
View All Images
Dataset Split
Train Set 100%
2994Images
Valid Set 0%
6Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x480
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Flip: Horizontal, Vertical