Dataset Versions
Versions
Adjusted bottom row annotation Data Set
v12
· 8 months ago
Full Dataset 2
v10
· 8 months ago
Augmented Dataset 2
v9
· 8 months ago
Augmented Full Dataset
v8
· 8 months ago
Full Dataset
v6
· 8 months ago
Augmented- Phone Reverse Phone
v5
· 8 months ago
Phone-Reverse Phone 60- Train-20- Validate-20-
v4
· 8 months ago
Phone-Reverse Phone
v3
· 8 months ago
2024-03-29 8:25am
v2
· 8 months ago
2024-03-28 8:41pm
v1
· 8 months ago
v12
Adjusted bottom row annotation Data Set
Generated on Apr 3, 2024
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.
160 Total Images
View All Images
Dataset Split
Train Set 75%
120Images
Valid Set 13%
20Images
Test Set 13%
20Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 2
Bounding Box: Noise: Up to 0.3% of pixels