mattmdjaga

SegFormer model fine-tuned on ATR dataset for clothes segmentation but can also be used for human segmentation. The dataset on hugging face is called "mattmdjaga/humanparsingdataset". Labels: 0: "Background", 1: "Hat", 2: "Hair", 3: "Sunglasses", 4: "Upper-clothes", 5: "Skirt", 6: "Pants", 7: "Dress", 8: "Belt", 9: "Left-shoe", 10: "Right-shoe", 11: "Face", 12: "Left-leg", 13: "Right-leg", 14: "Left-arm", 15: "Right-arm", 16: "Bag", 17: "Scarf" | Label Index | Label Name | Category Accuracy | Category IoU | |:-------------:|:----------------:|:-----------------:|:------------:| | 0 | Background | 0.99 | 0.99 | | 1 | Hat | 0.73 | 0.68 | | 2 | Hair | 0.91 | 0.82 | | 3 | Sunglasses | 0.73 | 0.63 | | 4 | Upper-clothes | 0.87 | 0.78 | | 5 | Skirt | 0.76 | 0.65 | | 6 | Pants | 0.90 | 0.84 | | 7 | Dress | 0.74 | 0.55 | | 8 | Belt | 0.35 | 0.30 | | 9 | Left-shoe | 0.74 | 0.58 | | 10 | Right-shoe | 0.75 | 0.60 | | 11 | Face | 0.92 | 0.85 | | 12 | Left-leg | 0.90 | 0.82 | | 13 | Right-leg | 0.90 | 0.81 | | 14 | Left-arm | 0.86 | 0.74 | | 15 | Right-arm | 0.82 | 0.73 | | 16 | Bag | 0.91 | 0.84 | | 17 | Scarf | 0.63 | 0.29 | Overall Evaluation Metrics: - Evaluation Loss: 0.15 - Mean Accuracy: 0.80 - Mean IoU: 0.69