Dataset Versions
Versions
2022-08-29 2:40pm
v11
· 2 years ago
2022-08-29 12:33pm
v10
· 2 years ago
2022-08-25 5:15pm
v9
· 2 years ago
2022-08-25 4:19pm
v8
· 2 years ago
2022-08-25 4:05pm
v7
· 2 years ago
2022-08-25 3:55pm
v6
· 2 years ago
2022-08-25 2:45pm
v5
· 2 years ago
2022-08-25 11:44am
v4
· 2 years ago
2022-08-25 11:43am
v3
· 2 years ago
2022-08-10 11:17pm
v2
· 2 years ago
2022-08-10 11:05pm
v1
· 2 years ago
v6
2022-08-25 3:55pm
Generated on Aug 25, 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.
958 Total Images
View All Images
Dataset Split
Train Set 81%
780Images
Valid Set 11%
105Images
Test Set 8%
73Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Hue: Between -1° and +1°
Saturation: Between -1% and +1%
Brightness: Between -1% and +1%
Exposure: Between -1% and +1%
Blur: Up to 0.25px
Noise: Up to 1% of pixels