Dataset Versions
Versions
Set1-2-3-4-5-6-7
v23
· a month ago
Set1-2-3-4-5-6
v22
· 3 months ago
2024-08-05 5:10am
v21
· 3 months ago
2024-07-19 12:08pm
v20
· 4 months ago
Set1-2-3-4-5
v19
· 4 months ago
2024-07-08 4:51am
v18
· 4 months ago
2024-06-27 4:00pm
v17
· 5 months ago
Set1-2-3-4
v16
· 5 months ago
Shivam and tushar
v11
· 5 months ago
set1-2-3
v10
· 5 months ago
Set 1-2 Improvement
v7
· 5 months ago
set1 - set2 w-o noise
v6
· 6 months ago
Set 1 - Set 2
v5
· 6 months ago
Set 1
v2
· 7 months ago
2024-04-02 11:42am
v1
· 8 months ago
v22
Set1-2-3-4-5-6
Generated on Aug 5, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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4146 Total Images
View All Images
Dataset Split
Train Set 92%
3826Images
Valid Set 8%
320Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%