Dataset Versions
Versions
2023-08-29 4:19pm
v19
· a year ago
2023-08-29 4:17pm
v18
· a year ago
2023-08-29 4:10pm
v15
· a year ago
2023-08-29 3:59pm
v11
· a year ago
2023-07-05 11:17am
v8
· a year ago
revision_2.1_labelled_dataset_no_auto_orient
v6
· a year ago
revision_2_labelled_dataset
v4
· a year ago
revision_1_labelled_dataset
v3
· a year ago
labelled_dataset_with_augmentation_v2
v2
· a year ago
labelled_dataset_v1
v1
· a year ago
v11
2023-08-29 3:59pm
Generated on Aug 29, 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.
250 Total Images
View All Images
Dataset Split
Train Set 84%
210Images
Valid Set 4%
10Images
Test Set 12%
30Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied