HOMMIES_DETECTION Image Dataset
Versions!
2024-06-09 11:46am
v6
· 18 days ago
51
2024-06-08 11:49pm
v5
· 19 days ago
34
640x640
Stretch to
2024-06-08 6:58pm
v4
· 19 days ago
34
640x640
Stretch to
2024-06-07 8:27pm
v3
· 20 days ago
34
Fast
COCOn
2024-06-07 8:24pm
v2
· 20 days ago
14
640x640
Stretch to
2024-06-07 8:20pm
v1
· 20 days ago
14
640x640
Stretch to
v6
2024-06-09 11:46am
Generated on Jun 9, 2024
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.
51 Total Images
View All Images
Dataset Split
Train Set 100%
51Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Dynamic Crop: Class: BIG_CUP
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Blur: Up to 2.5px