Dataset Versions
Versions
2022-09-27 2:22am
v9
· 2 years ago
2022-09-27 2:20am
v8
· 2 years ago
2022-09-27 1:02am
v7
· 2 years ago
2022-09-27 12:57am
v6
· 2 years ago
2022-09-26 11:54pm
v5
· 2 years ago
2022-09-24 11:18pm
v4
· 2 years ago
2022-09-20 4:18am
v3
· 2 years ago
2022-09-20 1:10am
v2
· 2 years ago
2022-09-01 11:23pm
v1
· 2 years ago
v4
2022-09-24 11:18pm
Generated on Sep 24, 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.
1045 Total Images
View All Images
Dataset Split
Train Set 93%
975Images
Valid Set 3%
35Images
Test Set 3%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -27% and +27%
Bounding Box: Noise: Up to 5% of pixels