Dataset Versions
Versions
2023-04-26 10:31pm
v9
· 2 years ago
2023-04-26 10:25pm
v8
· 2 years ago
2023-04-26 10:23pm
v7
· 2 years ago
2023-04-26 5:30pm
v6
· 2 years ago
2023-04-26 4:57pm
v5
· 2 years ago
2023-04-26 3:13pm
v4
· 2 years ago
2023-04-26 11:39am
v3
· 2 years ago
2023-04-26 1:05am
v2
· 2 years ago
2023-04-25 11:31pm
v1
· 2 years ago
v1
2023-04-25 11:31pm
Generated on Apr 25, 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.
8870 Total Images
View All Images
Dataset Split
Train Set 93%
8205Images
Valid Set 4%
336Images
Test Set 4%
329Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 416x416
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 36% Maximum Zoom
Exposure: Between -25% and +25%
Blur: Up to 2.25px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Blur: Up to 3.75px