Dataset Versions
Versions
2022-03-01 7:23pm
v11
· 3 years ago
2022-03-01 1:05pm
v10
· 3 years ago
2022-03-01 12:56am
v9
· 3 years ago
2022-01-01 8:40pm
v8
· 3 years ago
2021-12-31 9:43pm
v7
· 3 years ago
2021-12-31 6:56pm
v6
· 3 years ago
2021-12-31 4:03pm
v5
· 3 years ago
2021-12-31 4:00pm
v4
· 3 years ago
2021-12-31 3:45pm
v3
· 3 years ago
2021-12-30 2:53pm
v2
· 3 years ago
2021-12-30 8:56am
v1
· 3 years ago
v7
2021-12-31 9:43pm
Generated on Dec 31, 2021
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.
3500 Total Images
View All Images
Dataset Split
Train Set 90%
3156Images
Valid Set %
0Images
Test Set 10%
344Images
Preprocessing
Resize: Stretch to 300x300
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Brightness: Between -20% and +20%
Noise: Up to 2% of pixels
Cutout: 3 boxes with 10% size each