Dataset Versions
Versions
2023-05-15 8:57pm
v9
· 2 years ago
2023-05-15 8:52pm
v8
· 2 years ago
2023-05-15 8:44pm
v7
· 2 years ago
2023-05-15 8:31pm
v6
· 2 years ago
2023-05-15 8:22pm
v5
· 2 years ago
2023-05-15 8:02pm
v4
· 2 years ago
2023-05-09 2:07pm
v3
· 2 years ago
2023-05-09 12:04am
v2
· 2 years ago
2023-02-25 9:42am
v1
· 2 years ago
v5
2023-05-15 8:22pm
Generated on May 15, 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.
1353 Total Images
View All Images
Dataset Split
Train Set 88%
1191Images
Valid Set 8%
103Images
Test Set 4%
59Images
Preprocessing
Isolate Objects: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Hue: Between -34° and +34°
Brightness: Between -25% and +25%
Noise: Up to 9% of pixels
Bounding Box: Exposure: Between -62% and +62%