Dataset Versions
Versions
Workstation_V1
v9
· 3 years ago
15022022
v8
· 3 years ago
14022022
v7
· 3 years ago
Almost good with no augmentation
v6
· 3 years ago
Almost good
v5
· 3 years ago
2022-02-09 5:39pm
v4
· 3 years ago
2022-02-02 10:59pm
v3
· 3 years ago
2022-02-02 10:49pm
v2
· 3 years ago
2022-02-02 10:42pm
v1
· 3 years ago
v5
Almost good
Generated on Feb 10, 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.
891 Total Images
View All Images
Dataset Split
Train Set 91%
807Images
Valid Set 5%
47Images
Test Set 4%
37Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Augmentations
Outputs per training example: 3
Hue: Between -80° and +80°
Saturation: Between -25% and +25%
Brightness: Between -43% and +43%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels