832 data new models chart Dataset
Versions
Model 6
v18
· a year ago
Model 8
v17
· a year ago
Model 4
v16
· a year ago
2023-08-19 5:15pm
v15
· a year ago
2023-08-19 4:54pm
v14
· a year ago
2023-08-19 4:50pm
v13
· a year ago
2023-08-19 4:49pm
v12
· a year ago
2023-08-19 4:47pm
v11
· a year ago
2023-08-19 4:44pm
v10
· a year ago
2023-08-19 4:28pm
v9
· a year ago
2023-08-08 12:36pm
v8
· a year ago
2023-08-03 12:37pm
v5
· a year ago
v15
2023-08-19 5:15pm
Generated on Aug 19, 2023
Popular Download Formats
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.
720 Total Images
View All Images
Dataset Split
Train Set 88%
630Images
Valid Set 13%
90Images
Test Set %
0Images
Preprocessing
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -80° and +80°
Brightness: Between -35% and +35%
Blur: Up to 0.75px