Only Trademark Dataset
Versions
2022-04-13 2:01pm
v11
· 2 years ago
2022-04-12 2:45pm
v10
· 2 years ago
2022-04-12 11:15am
v9
· 2 years ago
2022-04-11 7:22pm
v8
· 2 years ago
2022-04-11 6:34pm
v7
· 2 years ago
2022-04-11 4:38pm
v6
· 2 years ago
tile-v3
v5
· 2 years ago
tile-2
v4
· 2 years ago
Tile
v3
· 2 years ago
2022-04-11 9:38am
v2
· 2 years ago
only-trademark
v1
· 2 years ago
v3
Tile
Generated on Apr 11, 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.
577 Total Images
View All Images
Dataset Split
Train Set 86%
497Images
Valid Set 9%
51Images
Test Set 5%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 2048x2048
Tile: 5 rows x 5 columns
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Vertical
Rotation: Between -27° and +27°
Grayscale: Apply to 53% of images