Dataset Versions
Versions
2023-08-10 8:22pm
v23
· a year ago
2023-08-10 4:23pm
v22
· a year ago
2022-07-25 12:39pm
v21
· 2 years ago
Final model - dhairya
v20
· 2 years ago
2022-07-13 10:52pm
v18
· 2 years ago
2022-07-13 10:51pm
v17
· 2 years ago
2022-07-13 10:28pm
v16
· 2 years ago
Modified Dataset
v15
· 2 years ago
another experimental model lol
v14
· 2 years ago
Experimental model
v13
· 2 years ago
Model 9 - Dhairya
v12
· 2 years ago
Model 7 - Rex
v11
· 2 years ago
Model 6 Andrew
v10
· 2 years ago
2022-07-06 1:54pm
v9
· 2 years ago
Model 5 Dhairya
v8
· 2 years ago
Model 4- Rex
v7
· 2 years ago
Model 3 -Rex -AVIEL CLONE DONT USE-
v6
· 2 years ago
Model 2-Aviel
v5
· 2 years ago
Model 1 -Dhairya-
v4
· 2 years ago
2022-07-01 2:52pm
v3
· 2 years ago
2022-07-01 3:15pm
v2
· 2 years ago
2022-07-01 12:57pm
v1
· 2 years ago
v6
Model 3 -Rex -AVIEL CLONE DONT USE-
Generated on Jul 6, 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.
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1181 Total Images
View All Images
Dataset Split
Train Set 87%
1026Images
Valid Set 8%
96Images
Test Set 5%
59Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -30% and +30%
Cutout: 25 boxes with 2% size each