Dataset Versions
Versions
2023-06-20 9:25pm
v10
· a year ago
2023-06-20 9:21pm
v9
· a year ago
2023-06-19 8:03pm
v7
· a year ago
2023-06-19 7:12am
v6
· a year ago
2023-06-19 6:12am
v5
· a year ago
2023-06-19 2:13am
v4
· a year ago
2023-06-17 10:51pm
v3
· a year ago
2023-06-17 9:07pm
v2
· a year ago
2023-06-17 1:15am
v1
· a year ago
v4
2023-06-19 2:13am
Generated on Jun 18, 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.
960 Total Images
View All Images
Dataset Split
Train Set 88%
840Images
Valid Set 8%
80Images
Test Set 4%
40Images
Preprocessing
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels