Dataset Versions
Versions
2022-05-14 8:15pm
v17
· 3 years ago
2022-05-14 6:38pm
v16
· 3 years ago
2022-05-14 6:34pm
v15
· 3 years ago
2022-05-14 6:09pm
v14
· 3 years ago
2022-05-14 5:21pm
v13
· 3 years ago
2022-05-14 4:51pm
v12
· 3 years ago
2022-05-14 4:02pm
v11
· 3 years ago
2022-05-14 3:39pm
v10
· 3 years ago
2022-05-14 2:44pm
v9
· 3 years ago
v17
2022-05-14 8:15pm
Generated on May 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.
112 Total Images
View All Images
Dataset Split
Train Set 94%
105Images
Valid Set 3%
3Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Saturation: Between -90% and +90%
Exposure: Between -93% and +93%
Blur: Up to 10px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 10px