MoLa-VI in Car Image Dataset
Versions
2024-05-22 4:12pm
v10
May 22, 2024
2024-05-21 4:10pm
v8
May 21, 2024
2024-05-21 4:08pm
v7
May 21, 2024
2024-05-21 10:11am
v6
May 21, 2024
2024-05-02 11:03am
v5
May 2, 2024
2024-04-24 5:22pm
v4
Apr 24, 2024
2024-04-15 4:44pm
v3
Apr 15, 2024
2024-04-15 11:00am
v2
Apr 15, 2024
2024-04-15 10:58am
v1
Apr 15, 2024
v5
2024-05-02 11:03am
Generated on May 2, 2024
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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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7042 Total Images
View All Images
Dataset Split
Train Set 85%
5997Images
Valid Set 10%
697Images
Test Set 5%
348Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 900x600
Augmentations
Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 15% of images
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Exposure: Between -10% and +10%
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