Dataset Versions
Versions
2022-05-30 1:55pm
v9
· 2 years ago
2022-05-30 1:51pm
v8
· 2 years ago
2022-05-26 10:50am
v7
· 3 years ago
2022-05-24 8:49am
v6
· 3 years ago
2022-05-24 8:29am
v5
· 3 years ago
2022-05-21 4:35pm
v4
· 3 years ago
2022-05-20 10:40pm
v3
· 3 years ago
2022-05-20 4:23pm
v2
· 3 years ago
2022-05-20 2:04pm
v1
· 3 years ago
v6
2022-05-24 8:49am
Generated on May 23, 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.
456 Total Images
View All Images
Dataset Split
Train Set 89%
405Images
Valid Set 7%
33Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -50% and +50%
Blur: Up to 5px
Noise: Up to 5% of pixels
Bounding Box: Noise: Up to 5% of pixels